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The Data Scientist is responsible for the collection, management, and analysis of internal data to support modeling and collections strategies across all revenue channels. The Data Scientist is also responsible for the score-based valuation of existing collections portfolios at all levels of aggregation and/or the development of credit scores to support valuation and collections activities; collaborates with group analysts as they specify and validate collections strategies, maintain collections forecasts, and revise and improve our predictive models. This position works with partners in Marketing, Acquisitions, and Operations to aid in the development and implementation of score-based and logic-based collections practices. This role is equally comfortable discussing the academic merits of a statistical and advanced machine learning approaches or the ways in which a forecasting model will impact a business channel's revenue and cost expectations RESPONSIBILITIES Works with partners in Operations to aid in the development and implementation of score-based and logic-based collections practices. Works closely with Managers during the creation and validation of valuation products. Responsible for the collection, management, and analysis of internal data to support modeling and collections strategies. Implements, tracks, and validates score-based collections strategies. Facilitates the use of Data Science methodologies throughout the servicing operation. MINIMUM REQUIREMENTS EDUCATION: Bachelor's FIELD OF STUDY: Statistics, Engineering, or qualitative science EXPERIENCE: 2+ years of Data Scientist or related experience KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency of the following: Proficiency with base SAS and Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. PREFERRED QUALIFICATIONS EDUCATION: Master's or Advanced FIELD OF STUDY: Statistics, Engineering or a quantitative science EXPERIENCE: Additional experience that would help; quantify where possible KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES: Intermediate to Advanced Proficiency in MS Office and other systems Extensive understanding of relevant knowledge Intermediate to Advanced Proficiency Proficiency with base Python or R Expertise with formal statistical methodologies Strong knowledge of some or all the following: Logit models Generalized linear models. Categorical data analyses ANOVA and regression ML packages, cloud computing Proficiency with MS Office, particularly Excel. #LI-KL1 Starting Compensation Annual Salary: $82,500.00 - $107,199.00 (Amount based on office location, relevant experience, skills, and competencies) If you are wondering why you should work for us, here is something to help you decide: Pay and Bonuses: Earn a competitive salary. All employees are eligible for monthly incentives or annual bonus. Career Progression: Grow at MCM with paid training and development programs - including our very own MCM Academy - as well as a promote-from-within philosophy. Reward and Recognition: We are committed to honoring great results - ranging from informal accolades to formal company-wide awards and prizes like all-inclusive vacations. Tuition Assistance: Pursue a degree or coursework related to your current role, or the role you are striving for. Healthcare Insurance: Take advantage of comprehensive healthcare plans and options to ensure your continued health, plus fitness membership reimbursements, weight watchers, our wellness rewards Program and more. Volunteering Opportunities: Enjoy up to eight hours of paid time off each year to volunteer. We also offer volunteer grants and matching financial donations, up to US$ 2,500 per employee annually. Retirement Savings: Build a strong financial foundation and reach your goals for the future. With all the effort you invest in us, we're proud to invest in you. New Family Support: Celebrate your new arrival with company paid leave, new parent flex time, and child back-up care options. Team-building: Enjoy experiences that inspire bonds with your colleagues through a wide range of company-sponsored team-building events, such as holiday celebrations and department outings. Work-Life Balance: Enjoy paid and floating holidays, as well as generous paid-time-off. Our compensation and benefits programs were created with an 'Employee-First Approach' focused on supporting, developing, and recognizing YOU. We offer a wide array of wellness and mental health initiatives, support volunteerism, and environmental efforts, encourage employee education through leadership training, skill-building, and tuition reimbursements, and always strive to provide promotion opportunities from within. About Us Headquartered in the United States, Encore Capital Group (Encore) is a publicly traded international specialty finance company operating in various countries around the globe. Through our businesses - such as Midland Credit Management and Cabot Credit Management - we help consumers to restore their financial health as we further our Mission of creating pathways to economic freedom. Our commitment to building a positive workplace culture and a best-in-class employee experience have earned us accolades including Great Place to Work certifications in many geographies where we operate. If you have a passion for helping others and thrive at a company that values innovation, inclusion and excellence, then Encore Capital Group is the right place for you. Encore Capital Group and all of its subsidiaries are proud to be an equal opportunity employer and are committed to fostering an inclusive and welcoming environment where everyone feels they belong. We encourage candidates from all backgrounds to apply. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other status protected under applicable law. If you wish to discuss potential accommodations related to applying for employment, please contact Talent@mcmcg.com.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 4 year(s) Demonstrates thorough-level abilities and/or a proven record of success managing the identification and addressing of client needs: Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of GenAI and AI solution approach Collaborating with client team to understand their business problem and select the appropriate analytical models and approaches for AI and GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Support management of daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Structuring, write, communicate and facilitate client presentations; and, Directing associates through coaching, providing feedback, and guiding work performance. Demonstrates thorough abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing AI/GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Job Description We are searching for a highly motivated computational scientist with a strong background in methods development for image analytics to join the Data & Computational Science (DCS) team at Vertex Pharmaceuticals. You will play a formative role in building the image analytics capabilities within DCS, supporting analysis of high content, multiplexed, and/or materials imaging studies. An ideal candidate should have experience in applying statistical and machine learning methods towards building image analysis pipelines and strong knowledge of software development best practices. You will play a key role in innovating, evaluating, and applying cutting-edge computational methods that will enable us to make rapid, data-driven decisions. As a key contributor you will be expected to work closely with DCS colleagues and research scientists, and Vertex's Data Technology and Engineering (DTE) group to help in the development of scalable, production solutions. Thus, the ideal candidate will have a strong foundation in image analysis, but also a broad skillset to address data science problems. Proactive communication, and seamless cross-functional collaboration will be required for success in this role. This is a Boston, MA based hybrid/onsite position requiring 3 days/week onsite. Key Responsibilities: Develop novel computational methods and pipelines for imaging data across modalities to address key questions for quantifying biological assays. Identify, evaluate and adopt custom image analytics and AI/ML methods from external sources Lead rigorous computational analyses of imaging and other biological data while developing new approaches. Collaborate with project teams and DCS members to identify key needs and questions that can be addressed using image analytics Collaborate with project teams across the company to enable best practices for image data analytics with a strong motivation for data integrity and data provenance. Knowledge and Skills: Expertise in development of image analytics method for high-content, multi-plexed, or materials imaging Expertise in the use of image analysis toolkits (e.g., scikit-image, OpenCV) Hands-on experience in customizing ML/AI methods (scikit-learn, PyTorch, Tensorflow) for applying image analytics for feature extraction, characterization, classification and prediction. Experience with analytics and statistics of high dimensional data. Strong programming skills, ideally in Python Experience with version control (Git), and cluster compute (HPC/AWS) Excellent communication skills that can be tailored to scientists with or without computational biology expertise Demonstrated ability to work across cross-functional teams, ensuring timely progress A team-oriented mindset that welcomes feedback and supports others, and a desire to be part of a highly innovative company aimed at transforming the lives of people with serious diseases. Education and Experience: Ph.D. (or equivalent degree) in computer science, computational biology, bioengineering, bioinformatics, or a related field and 0-3 years of productive, relevant post-doctoral employment experience, or MS (or equivalent degree) in similar fields and 3+ years of productive, relevant employment experience, or #LI-SV1 #LI-Hybrid Pay Range: $101,200 - $151,700 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: Hybrid: work remotely up to two days per week; or select On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

About Northern Trust: Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world's most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world's most sophisticated clients using leading technology and exceptional service. Onboarding & Client Master Data - Solution Architect The Wealth Management Data Platform is going through an extensive Data Modernization moving from On-prem infrastructure to Cloud Technologies for both Self-Serve Analytics and operational runtime needs. We're also focused on creating a wholistic Customer Data Platform and Client 360. We're looking for a solution architect to join our team to lead our Onboarding/ Enrollments data workstream. You will be responsible for driving application and data architecture for creation of a Central Client Profile and a WM Client Master record. This role will require you to partner with Enterprise MDM team on data matching, merging and survivorship rules to ensure WM business unit needs are factored in the enterprise solution. As a custodian of WM Party/ Account and Legal agreement data, you will understand how this data will be used across WM and all the consuming WM systems and also understand source system rules and help influence system integrations needed. You will create the end-to-end vision of the data flow diagram and develop logical data models into physical data repositories. Closely work with MDM Core, ETL, Service and Support team for various design, analysis and production INCs to guide them. Provide suggestion for automation of the manual processes for data remediation and engage with teams on implementing automation. Excellent written and oral business communication to explain the system incident or development work. Implementing the features using Agile methodology. Must have: Hands on experience in MDM with excellent understanding of PME( Probabilistic matching engine) etc Experience or knowledge of Azure Data services including Azure Data Lake gen2, Azure Synapses, Azure Event Hub and Analytics and Data Bricks to support various ongoing data solutions Programming Languages: Java/ Python Strong data analysis skills needed to understand and establish linage from multiple legacy source systems and present it to partners. Must have critical thinking and investigative approach to resolve multiple data issues across many source systems connected to MDM. Strong leadership skills with experience in leading multiple teams Experience in Banking industry is must specially in Asset Servicing, Wealth and Asset Management domain. Bachelor's degree in Computer Science or a related discipline and experience in information system architecture methodologies, or an equivalent combination of education and work experience. Salary Range: $114,500 - 194,700 USD Salary range is a good faith estimate of base pay. Northern Trust provides a comprehensive benefits package including retirement benefits (401k and pension), health and welfare benefits (medical, dental, vision, spending accounts and disability), paid time off, parental and caregiver leave, life & accident insurance, and other voluntary and well-being benefits. Northern Trust also provides a discretionary bonus program that may include an equity component. Working with Us: As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We'd love to learn more about how your interests and experience could be a fit with one of the world's most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you're excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Apply Description Ready for more than just a job? Build a career with purpose. At Lactalis in the USA, we're committed to providing meaningful opportunities for our people to learn, grow, and thrive-whether you're just starting your journey with us or looking to take the next step in your career. From day one, we offer the tools and support to help you succeed. As the world leader in dairy, Lactalis is a family-owned company with over 85,000 pragmatic and ambitious professionals across the globe. Each day, we're proud to produce award-winning dairy products that bring people together. In the US, we proudly offer an unrivaled house of beloved brands, including Galbani Italian cheeses and ricotta, Président specialty cheeses and butters, Kraft natural and grated cheeses, Breakstone's cottage cheese, Cracker Barrel, Black Diamond cheddar, and Parmalat milk. Our yogurt portfolio includes siggi's, Stonyfield Organic, Brown Cow, Oui, Yoplait, Go-Gurt, :ratio, Green Mountain Creamery, and Mountain High, along with a growing family of ethnic favorites like Karoun, Gopi, and Arz. At Lactalis, we live by our core values-Ambition, Engagement, and Simplicity. We foster a workplace where innovation thrives, diverse perspectives are celebrated, and everyone's unique background and ideas are valued. Even if you don't meet every qualification, we encourage you to apply. We want to hear about your PASSION, your STORY, and how your EXPERTISE can help us shape the future of dairy. From your PASSION to ours Lactalis US Yogurt, part of the Lactalis family of companies, is currently hiring a Quality Data Specialist based in Londonderry, NH. This role is responsible for preparing, analyzing, and distributing quality metrics across the Lactalis US Yogurt (LUSY) business, supporting data-driven decision-making and continuous improvement. The Quality Data Specialist will also assist in the investigation of consumer complaints, maintain customer portals, respond to quality-related inquiries, and help ensure regulatory compliance by managing state dairy permit renewals. Additional responsibilities include supporting administrative functions such as tracking departmental expenditures. This position will work closely with plant quality teams, the corporate quality group, consumer relations, and accounting to ensure alignment with our company's values and business goals. From your EXPERTISE to ours Key responsibilities for this position include: Data Analysis (50%) Capture and analyze consumer and customer feedback to identify improvement opportunities for product superiority. Calculate Complaints per Million Units (CPM) monthly and annually. Consolidate and distribute final consumer complaint reports to internal and external stakeholders in a timely manner. Complete reports using the internal consumer relations software, as requested. Apply critical thinking to management of consumer complaint data to identify trends. Create and maintain Power BI consumer complaint reports. Create and maintain Power BI specification attainment reports (ABC compliance) for LUSY plants. Analyze quality data and statistics for continuous improvement and notify impacted parties (Research and Development, plant leadership, Corporate Quality) for follow-up actions. Alert senior management of consumer complaints and specification attainment non-conformities that may pose a risk to food safety and/or compliance. Consumer and Customer Complaint Management (25%) Support Manager, Corporate Quality in the investigation of customer and consumer complaints with manufacturing and co-manufacturer teams in all areas of activity: manufacturing, foreign objects and product quality and safety complaint trends. Provide support to consumer relations in their responses to consumer inquiries and complaints in the absence of Manager, Corporate Quality. Implement and maintain internal store check product defect reporting platform. Other Tasks (25%) Manage customer documentation requirements and maintain customer documentation databases. Provide support to Manager, Corporate Quality in preparation for customer audits. Review private label and assigned projects finished product labels. Manage LUSY plants licenses and permits. Manage Corporate Quality Department Purchase Order requests and tracking of department expenditures. WORK CONDITIONS Travel may be required occasionally. Extended hours may be necessary depending on the project needs To fulfill these responsibilities, tools such as a computer and / or allowance(s) will be provided. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential duties and responsibilities. This position requires physical presence in the office, in accordance with the guidelines of the Hybrid Work Policy - 3 days in office/2 days WFH. From your STORY to ours Qualified applicants will contribute the following: Associate's degree or equivalent experience required; Bachelor's degree preferred. 3+ years of experience in data management required. Demonstrated proficiency in Microsoft Office, with strong skills in Excel; experience with Power BI preferred. Ability to analyze consumer complaints and investigate root causes, providing clear and accurate reporting of findings. Demonstrated ability to develop and implement complaint traceability processes, coordinating responses across key stakeholders. Strong analytical thinking skills, with the ability to evaluate data and situations to make informed decisions. Proven ability to prioritize and manage multiple tasks effectively to meet objectives and deadlines. Client-oriented mindset with a focus on meeting the needs of both internal and external stakeholders. Strong organizational skills with attention to detail and a methodical approach to work. Ability to collaborate effectively across functions and contribute to a team-oriented environment. Demonstrated commitment to continuous learning and professional growth. Ability to think creatively and contribute innovative ideas to improve processes, systems, or services. At Lactalis, we offer a comprehensive Total Rewards Program with a variety of affordable benefits and coverage options. We support insurance costs significantly, contribute generously to retirement plans, and offer Paid Time Off from day one. We are committed to your professional growth, providing training and development opportunities, including Education Reimbursement. Join us and grow your career. Lactalis is an equal employment opportunity employer. We will not discriminate against applicants with regard to any legally-recognized basis including, but not limited to: veteran status, race, color, religion, sex, national origin, age, marital status, sexual orientation, and physical or mental disabilities.

About the Team The Strategic Finance team is responsible for some of the largest investment categories at OpenAI. We play a critical role in maximizing OpenAI's long-term value by partnering across the business to allocate and deploy resources for the highest-impact outcomes. We work cross-functionally with Finance, Product, Engineering, and Go-To-Market teams to deliver actionable insights and support strategic decision-making. About the Role As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. You will work closely with Finance leadership, as well as teams across Research, Applied and Go-To-Market. This role requires deep expertise in predictive modeling, causal inference, and the ability to surface insights to support high-stakes decision-making. This role is based in our San Francisco HQ. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. Automate standardized reporting and analysis by building data products or agentic solutions. Support product pricing and other business decisions with ad hoc analysis. Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. Manage and lead cross-functional data science projects end-to-end. You might thrive in this role if you have: MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. Proficiency in Python, SQL, Tableau, and other analytical tools. Strong analytical skills and experience working with large, complex data sets. Proven ability to distill complex data into actionable insights for leadership. Ability to independently initiate and complete projects, owning them end-to-end. Excellent communication and storytelling skills when presenting data insights. Exceptional attention to detail and a commitment to accuracy. You could be an especially great fit if: You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. You're passionate about technology and artificial intelligence. You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Job Description As a SalesForce.com data management and integration lead, you will be part of a high performance team chartered to deliver enterprise-wide solutions. In this role, you will be responsible for designing, implementing, and maintaining data architectures and integration framework for our Global Salesforce implementation (Sales Cloud and Partner Relationship Management PRM). You will work closely with other IT teams that support Agilent's business systems and infrastructure. The Salesforce.com data and integration Lead will be responsible for providing technical leadership in developing solutions in Salesforce.com to meet business requirements. Specific responsibilities are: Lead development of architecture, strategies, and policies around data governance in Salesforce.com, including master data management, metadata management, data quality and Integrations. Design and implement scalable Salesforce.com data architectures, ensuring high performance and integrity. Partner with architects, Salesforce and SAP experts, and business stakeholders to define data exchange needs and lead large-scale Salesforce data migrations with a focus on quality, consistency, and governance. Develop and maintain ETL processes, data dictionaries, and data models in Salesforce.com for optimized system performance. Utilize Salesforce Apex, VisualForce, Lightning Components, SOQL, and DML for customization and development. Design, build, and maintain integration processes between Salesforce.com, on-prem applications, external data sources, and cloud services. Collect requirements and develop integrations between Salesforce.com and other applications based on batch, near real-time, and real-time integration patterns. Ensure the reliability, scalability, and performance of integration solutions. Design, develop MuleSoft API's and provide instructions to Deploy into Cloud environment. Identify, analyze and develop interfaces and integration flows using Mule ESB Anypoint Studio - Mule Connectors, Database, MSMQ, HTTP, Web Service Consume and Email. May assume overall IT project management roles in small to medium-sized projects Explore new Salesforce offerings and work with product experts to explore new solutions, demo to the Agilent business team and prepare the roadmap for future growth Qualifications Bachelor's in information systems or computer science; advanced degree preferred. 8+ years in Salesforce implementation, including configuration, customization, and ERP integration. Salesforce Certifications: Integration Architect, Data Architect, MuleSoft Developer, MuleSoft Integration Architect, Sales Cloud Consultant. Solid understanding of Salesforce data architecture and master data, including data quality, cleansing, deduplication, and enrichment strategies. Experienced in Salesforce data modeling, ETL, MDM, and large-scale migrations using Data Loader and Data Import Wizard, and third-party ETL tools. Extensive experience designing cloud, hybrid, and on-prem integrations using iPaaS, API-led, and event-driven architectures. Skilled in implementing API-first integrations using REST/SOAP APIs, leveraging OAuth 2.0, SAML, SSL, and other authentication and authorization mechanisms. Experienced in MuleSoft API-led integrations and Anypoint Platform tools like Exchange, Design Center, and DataWeave. Experience integration and data transfer between key boundary applications like SAP CRM, SAP ECC, Adobe CDP, and Snowflake is helpful. Strong proficiency in Salesforce technologies (Apex, Visualforce, Lightning Components, Salesforce APIs, SOQL, DML). Strong grasp of CI/CD, DevOps, and Salesforce deployments using tools like Copado, Jenkins and Git. Proven success in leading high-performing teams, driving cross-functional teamwork between business and technical stakeholders, and delivering results in fast-paced environments. Familiarity with cloud platforms (AWS) is added advantage. #LI-DT1 Additional Details This job has a full time weekly schedule. Applications for this job will be accepted until at least August 5, 2025 or until the job is no longer posted. The full-time equivalent pay range for this position is $121,600.00 - $228,000.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations Agilent Technologies, Inc. is an Equal Employment Opportunity and Affirmative Action employer. We value diversity at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to diversity in the workplace and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_posting@agilent.com or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility. Travel Required: 10% of the Time Shift: Day Duration: No End Date Job Function: IT

Description:Who We Are: We are a dynamic and diverse team supporting recurring multi-year, critical programs, seeking an experienced individual to manage a cross-program Configuration and Data Management (CM/DM) team supporting multiple programs across the C4ISR Portfolio. Who You Are: An ideal candidate is someone who likes to be challenged, solve problems, and be a contributing member of a highly skilled program team. You will be focusing on maintaining configuration control of technical and programmatic documentation, and managing physical control of media including customer deliveries. The Work: As part of the CM/DM team your job responsibilities will include following: Configuration/data management plans and standard operating procedures for the C4 programs Interpreting customers' proposals statements of work (SOWs) to develop CM/DM basis of estimates Reviewing customer SOWs to develop S/CDRL delivery schedules and document number schema Analyzing S/CDRL requirements lists, generating soon due lists to ensure on-time S/CDRL delivery submittals, tracking S/CDRL metrics, and supporting releases to deliver approved deliverable and non-deliverable artifacts while implementing controls to ensure integrity. The Candidate will be responsible for managing a team of CM/DM professionals and coordinating employee recruitment, talent development, performance assessment, work assignments, salary, and recognition/disciplinary actions for their team. Why Join US Our flexible schedules, balance of in office and at home work, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Check out our beautiful facility online, search 'Lockheed Martin Deer Creek Facility in Littleton CO'. Learn more about Lockheed Martin's competitive and comprehensive benefits package. #RMSC6ISR Basic Qualifications: 10+ years' experience in one of the following roles: Configuration Management (CM), Data Management (DM), or other relevant positions Solid knowledge of Project Management life cycles and document workflow processes, experience in scheduling, tracking, and submitting contractually required S/CDRLs, and a demonstrated ability to effectively facilitate one or more of the following: Engineering Review Boards, Configuration Control Boards, Process Review Boards, Risk & Opportunity Mgt. Boards, and Program Change Control Boards Understanding of Data Management as well as associated methodologies, principles, and techniques Strong time management skills Current / active DoD Top Secret security clearance Desired Skills: Ability to multitask and lead across several competing priorities and meet tight deadlines Familiarity with Windchill, EPDM, or other configuration management tools. Strong Communication and Interpersonal skills Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: TS/SCI Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $90,200 - $159,045. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: Miscellaneous Engineering Type: Full-Time Shift: First

Job Summary: WHO ARE WE? Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAM Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value. The Core Data Services team consists of Platform Engineering, Data Engineering, Data Enablement and Operations teams. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms so the focus is on maximizing functionality, creating value and content/data assets, cost optimizations and usability of the data delivery and services and all this is our measure of our success and defines us The Core Data Services Team! We are looking for a Data Engineer - Platform, You! WHAT THIS ROLE WILL DO This is a hands-on Data Platform Infrastructure role that will use their strong infrastructure and deployment automation skills to design, develop, deploy, and maintaining testable, secure platforms and infrastructure that are easy and efficient to use. The platform would provide: The foundations of all critical software is built on Security products for building the data platform Ability to empower our product teams to take ownership of how they deliver software robustly and at scale Participate in on-call rotations/Pagerduty for data platform support. WHAT THIS PERSON WILL BRING: Strong hands on experience with either AWS, Azure or GCP Solid knowledge of cloud architecture principles specifically for Big Data platforms Hands on experience with All phases of the software and system development life cycle and agile methodologies Hands on experience writing production software and automations in at least one general-purpose programming language (Python, Go) Hands on experience with Kubernetes, Docker or other containerization technologies and infrastructure-as-code (IaC) technologies such as Terraform Hands on experience with runtime orchestrations like serverless, container orchestrations, batch and realtime event orchestration, et Hands on experience building continuous integration(CI) with common tools such as GitHub Actions, Circle CI, Jenkins, and Tekton and experience building continuous deployment(CD) for both software and data architectures and adept with multiple deployment strategies like canary, blue-green deployments, etc. Agile development methodologies using the Atlassian suite: Jira, Confluence Collaborate with cross-functional teams to deliver data solutions and provide technical support and guidance to team members. Stay up-to-date with the latest data engineering technologies and trends. BENEFITS & PERKS Our motto is 'Taking Care of Our Own' through 6 pillars of benefits: HEALTH: Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) YOURSELF: Paid time off policy including holidays, sick time, and day off for your birthday, free concert tickets WEALTH: 401(k) program with company match, Stock Program Reimbursement FAMILY: New parent programs & support including caregiver leave and baby bonus, infertility support CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings OTHERS: Volunteer time off, crowdfunding network EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. #LI-EF1 #LI-RemoteUnitedStates #LI-RemotePennsylvania #LI-RemoteAtlanta,GA #LI-RemoteAustin,TX #LI-RemoteBaltimore,MD #LI-RemoteCharleston,SC --------- The expected compensation for this position is: $136,000.00 USD - $170,000.00 USD Pay is based on a number of factors including market location, qualifications, skills, and experience.

Description Summary: Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-14 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work closely with the Chief Data & Analytics Office to influence the business and technology strategies for the company. If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you. You will be responsible for leading within the Enterprise Data Warehouse for the bank, including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology to understand and support their needs. Duties and Responsibilities: Manage a team of colleagues and contractors, providing resource allocation, coaching and development. · Lead a cross functional agile team to deliver on projects, providing thought leadership and technology oversight. · Participate in demand management and planning, assessing impact, feasibility and estimating work effort. · Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform. · Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics. · Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics. Basic Qualifications: Bachelor's Degree 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects. 7+ years of experience as a technology manager for data warehouse teams. Preferred Qualifications: Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value. Thought leadership in next-evolution modern data architectures. Best practice EDW testing and validation approaches and implementation. · Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, plan and deliver work to expectations. Strong communication and interpersonal skills for interacting and collaborating with developers, analysts and business colleagues throughout the organization. Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements. Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes. Experience with cloud technologies including AWS and Snowflake. Experience with IBM DataStage, Python/PySpark, Erwin Enterprise Data Modeler and Tableau. Experience with data governance and data management approaches, including data quality. Experience with business intelligence and advanced analytics. #LI-MH1 #LI-BM1 #LI-Hybrid #Texas Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Job Description: Sr Staff Engineer - Finance Data Specialist GEICO is seeking experienced Finance Data specialists to provide expertise and guidance in supporting the build out of a Finance data lake/warehouse. This individual must have the ability to provide coaching to business teams and technologists by guiding, planning, and partnering at various levels. This specialist will partner with the engineering teams in the establishment of a new Finance Data Warehouse. This role requires strong functional and technical Finance Systems background to partner with the Business and have effective discussions driving the capture, transformation, and utilization of Finance data to meet Business goals. The Senior Staff Engineer, Finance Data Specialist will report to the Senior Manager of Finance Data & Analytics and will provide solutions on how to build out, maintain, and support a Finance Data Warehouse/Lake to support FP&A processing and analytics while also supporting the larger Finance organization's need for Finance data. This role will work with multiple Finance and Technology leaders to set the strategy for building out the company's Finance Data Warehouse/Lake to provide a central repository for all Financial related transactions so it can be a reconciled source of truth for processing and the source for Revenue and Expense analytics. The individual in this role will be a key advisor and partner to the Finance Leadership to redesign the way they use their technologies in managing GEICO's business. The Finance Data Specialist is also accountable to support the delivery of technology solutions that will support FP&A Planning/Budgeting, financial reporting, Revenue/Expense Analytics, and the build out of the Finance Data Warehouse to become a reconciled source to allow the GL to become a "thin" ledger. The ideal candidate has deep Finance Systems experience across multiple companies to support deploying best practices, leveraging their broad and deep knowledge of various ERPs (e.g. Oracle; Workday; SAP or PeopleSoft). Prior Financial Systems experience is required, with a deep understanding of the functional and technical aspects of ERP and Data Warehouse systems. Position Responsibilities As a Senior Staff Engineer, Finance Data Specialist supporting Finance Systems you will: Leverage your deep Functional and Technical systems expertise to drive towards the right solution to support the department and GEICO's current and future needs Engage in cross-functional collaboration throughout the entire software lifecycle Lead design sessions with peers to ensure systems are well designed, efficient, and meet Business expectations Collaborate with Finance Leaders within the FP&A, Controllers, Financial Reporting, and Finance QA & Systems team along with the Data Engineering and Finance Technology leaders to ensure organizational goals are met Have a deep understanding of Finance functions to support the establishment of a vision and technology roadmap to build out a Finance Data Lake/Warehouse Have a good understanding of finance data lake/mart with Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Experience with designing, developing, implementing, and maintaining solutions for data ingestion and transformation projects Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent) Support the development of a roadmap and then work towards implementing Revenue and Expense Analytical solutions Work with Business Sponsors to develop project roadmaps which align to business objectives and sequenced by priority and resource availability Support and influence customers and stakeholders, and work through divergent expectations Support the implementation of a strong control and governance framework and maintain it for SOX and Audit reviews Support Business and Technology discussions at various leadership levels to ensure alignment towards long term goals of Finance and Technology Analyze and translate business and functional specifications and change requests into technical specifications Consistently share best practices and improve processes within and across teams Qualifications 20+ years of Finance Systems experience with industry leading ERP solutions (e.g. implementing and supporting PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) 5+ years of experience in implementing and supporting FP&A applications (Preferred) 5+ years working with or supporting a Finance Data Lake/Warehouse/Mart along with various Financial Reporting tools Solid understanding of Dimensional Data Modeling Strong working knowledge of Data processing/data transformation using ETL/ELT tools such as Informatica, DBT, etc. Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs 5+ years as a lead or architect supporting Financials via the major vendors (e.g. PeopleSoft; Oracle EBS; Oracle Cloud; Workday; or SAP) Deep Finance domain expertise to be able to work with senior Finance leaders to interpret their process and functional needs into system solutions Strong understanding of FP&A Budgeting, Planning, and Reforecasting processes Experience in implementing or supporting Revenue or Expense analytical solutions via tools such as Power BI, Tableau, etc. Strong understanding of Accounting process and reporting expectations to partner with senior Finance Leaders Ability to communicate and work directly with leaders across Technology and Finance Sound understanding of project management techniques, methodologies, and best practices Strong problem-solving abilities Ability to excel in a fast-paced environment Knowledge and experience with the software development life cycle Ability to work independently and in a team-oriented collaborative environment Education Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or equivalent education or work experience Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Job Summary: WHO ARE WE? Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAM Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value. The Core Data Services team consists of Platform Engineering, Data Engineering, Data Enablement and Operations teams. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms so the focus is on maximizing functionality, creating value and content/data assets, cost optimizations and usability of the data delivery and services and all this is our measure of our success and defines us The Core Data Services Team! We are looking for a Data Engineer - Platform, You! WHAT THIS ROLE WILL DO This is a hands-on Data Platform Infrastructure role that will use their strong infrastructure and deployment automation skills to design, develop, deploy, and maintaining testable, secure platforms and infrastructure that are easy and efficient to use. The platform would provide: The foundations of all critical software is built on Security products for building the data platform Ability to empower our product teams to take ownership of how they deliver software robustly and at scale Participate in on-call rotations/Pagerduty for data platform support. WHAT THIS PERSON WILL BRING: Strong hands on experience with either AWS, Azure or GCP Solid knowledge of cloud architecture principles specifically for Big Data platforms Hands on experience with All phases of the software and system development life cycle and agile methodologies Hands on experience writing production software and automations in at least one general-purpose programming language (Python, Go) Hands on experience with Kubernetes, Docker or other containerization technologies and infrastructure-as-code (IaC) technologies such as Terraform Hands on experience with runtime orchestrations like serverless, container orchestrations, batch and realtime event orchestration, et Hands on experience building continuous integration(CI) with common tools such as GitHub Actions, Circle CI, Jenkins, and Tekton and experience building continuous deployment(CD) for both software and data architectures and adept with multiple deployment strategies like canary, blue-green deployments, etc. Agile development methodologies using the Atlassian suite: Jira, Confluence Collaborate with cross-functional teams to deliver data solutions and provide technical support and guidance to team members. Stay up-to-date with the latest data engineering technologies and trends. BENEFITS & PERKS Our motto is 'Taking Care of Our Own' through 6 pillars of benefits: HEALTH: Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) YOURSELF: Paid time off policy including holidays, sick time, and day off for your birthday, free concert tickets WEALTH: 401(k) program with company match, Stock Program Reimbursement FAMILY: New parent programs & support including caregiver leave and baby bonus, infertility support CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings OTHERS: Volunteer time off, crowdfunding network EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. #LI-EF1 #LI-RemoteUnitedStates #LI-RemotePennsylvania #LI-RemoteAtlanta,GA #LI-RemoteAustin,TX #LI-RemoteBaltimore,MD #LI-RemoteCharleston,SC --------- The expected compensation for this position is: $136,000.00 USD - $170,000.00 USD Pay is based on a number of factors including market location, qualifications, skills, and experience.

FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients' needs and exceeding their expectations. FactSet is seeking a talented Software Engineer with strong C++, C# and .NET Core skills to join the Data Feed Engineering Team. This team is responsible for the development and maintenance of servers that deliver streaming real-time market data, and multiple SDKs that target several different programming languages, on both the Windows and Linux platforms. Our software allows internal and external engineers to programmatically access real-time market data content across a wide variety of platforms and languages. With just a few lines of code, users can easily integrate FactSet's wide range of streaming market data into their applications. Responsibilities: Develop, test, and deploy software and services to end users. Design and implement user-friendly APIs that deliver streaming real-time market data. Participate in and contribute to design reviews, code reviews, and brainstorming sessions. Communicate and collaborate with product developers, QA, API users, and other stakeholders. Respond to bug reports and feature requests. Participate in an on-call rotation. Minimum Required Skills: 3+ years of experience developing software in C++ and/or C#. 3+ years of professional software engineering experience Required/Critical Skills: Strong knowledge of software development in Visual Studio Fundamental understanding of network programming Ability to communicate effectively with peers within FactSet and with external users. Track record of success developing and shipping software on time. Ability to work in groups and independently Desired/Additional Skills: Experience developing software in any of the following languages Java .NET Core C++ C COM Golang Python Experience writing software for Linux Experience working in an Agile team Experience developing APIs Understanding of real-time market data and the requirements for processing large amounts of input with low latency Education: Bachelor's Degree or higher in Computer Science or foreign equivalent. The budgeted salary range for this position in the states of Connecticut and New York is $135,000.00 - 150,000.00 Company Overview: FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees' Choice Award winner. Learn more at www.factset.com and follow us on X and LinkedIn. At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or other characteristics protected by law. FactSet participates in E-Verify

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 9 year(s) Preferred Knowledge/Skills Demonstrates intimate-level abilities with, and/or a proven record of success directing efforts in the majority of the following areas: Managing development teams in building of GenAI solutions, including but not limited to prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back end integration, and iterative development with clients; Leading a team to document and analyze business processes for Generative AI opportunities, including gathering of requirements, creation of initial GenAI hypotheses, and development of GenAI solution approach; Collaborating with client team to understand their business problem and select the appropriate models and approachesÊfor GenAI use cases; Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases; Directing architects to design and solution GenAI architectures for clients, specifically for plugin based solutions (i.e., ChatClient application with plugins) and custom GenAI application builds; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps; Managing associates and senior associates through coaching, providing feedback, and guiding work performance; Leading business development activities for clients, including but not limited to facilitating the sales cycle of GenAI proposals; and, Leading internal asset development to build foundational GenAI practice. Demonstrates intimate level abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations; Using Python (e.g., Pandas, NLTK, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev; Possessing hands on experience with Azure, AWS, and / or Google Cloud platforms; Demonstrating experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.; and, Delivering successful technology creation, functional code, AI solutions and Data Platforms. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector EUR X-Sector Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Preferred Qualifications Certification(s) Preferred Certification in one of the following cloud platform providers- AWS/Azure/GCP/Snowflake/Databricks Preferred Knowledge/Skills Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Lead technology workstreams within larger projects, managing client expectations and identifying opportunities for additional engagement; Assess client requirements and integrate leading-edge technology solutions and PwC leading practices into project delivery; Enable high-quality delivery by conducting thorough quality assurance checks specific to technology implementations; Manage workstream financials, ensuring alignment with project objectives and efficient delivery of Statements of Work (SOW); Build and maintain client relationships to identify technological challenges and propose effective solutions; Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Prioritize and handle multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Coach and collaborate with associates who assist with this work, including providing coaching, feedback and guidance on work performance; Contribute to the growth and profitability of the practice through innovative technology solutions and strategic initiatives; Engage in pre-sales activities, collaborating with clients and internal teams to validate technology requirements and develop solution architectures; and, Assist in creating proposals, ensuring comprehensive and contractually sound Statements of Work (SOW). Demonstrates in-depth abilities and/or success in the following areas: Demonstrates technical proficiency with Azure, Azure Databricks, Azure Data Factory, Azure Fabric, Spark, Python/SQL Provide technical leadership within specific technology domains, contributing to the development of frameworks and industry standard practices; Enhance PwC's intellectual property related to technology implementations, promoting its use across delivery teams; Represent PwC as a thought leader in technology-specific forums, industry events, and conferences; Demonstrates hands-on technology implementation, including platforms such as Azure, Databricks and Snowflake; Ensure data quality, integrity and compliance with industry standards and regulations; Implement data security measures to protect sensitive information; Monitor and troubleshot Azure Data Factory pipelines to ensure data is process efficiently and accurately; Monitor and tune the performance of data processing jobs; Implement best practices for data partitioning, indexing, caching; Design and develop scalable data warehouse solutions that meet the organization's data storage, retrieval, and analysis requirements; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Proven track record of establishing industry presence and maintaining influential professional networks; and, Demonstrates experience leading technology workstreams from inception to delivery, with outstanding communication and presentation skills. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience designing, analysis, and refining experiments Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics Intellectual curiosity and drive, decisiveness, ambiguity and complexity Bachelor's degree required Preferred Qualifications Insurance industry experience Master's degree, or Advanced technical degree Experience with predictive modeling, machine learning, and experimentation/causal inference methods Experience of data modeling and data pipeline design Annual Salary $110,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector Not Applicable Specialism Oracle Management Level Manager Job Description & Summary A career in Oracle consulting will provide you with the opportunity to help organisations use enterprise technology to achieve their digital technology goals and capitalise on business opportunities. We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance. The Oracle Data and Analytics team, within Oracle consulting, provides you with the opportunity to help our clients transform their organization through better use of data and analytics to drive profitable growth, reduce operational costs, improve customer experience, empower employees, reduce operational risk, and address regulatory requirements. We help our clients define their Data and Analytics strategy and effectively see the strategy through execution. We help implement and effectively use broad technology offerings including Oracle Analytics and Data solutions along with enhanced Data Governance and Data Management capabilities to solve their business problems and achieve their strategic business goals. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. As part of the Oracle Data and Analytics team you manage data strategy, data roadmap, data governance, and data solution implementation projects. As a Manager you lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for securing project success and maintaining top standards. You are responsible for leading a team of on and off-shore resources, including business analysts, data analysts, solution architects, and developers to deliver a data-focused engagement. Responsibilities Lead teams in managing data strategy, data roadmap, data governance, and data solution implementation projects Manage client accounts with a focus on strategic planning and mentoring junior staff Oversee a team of on and off-shore resources Confirm top standards and project success Foster a collaborative and innovative team environment Develop and maintain powerful client relationships Mentor and develop junior team members Lead business analysts, data analysts, solution architects, and developers What You Must Have Bachelor's Degree 7 years of experience What Sets You Apart Bachelor's Degree in Computer Science, Computer and Information Science, Information Technology, Management Information Systems preferred Managing data strategy and data solution implementation projects Leading a team of on and off-shore resources Analyzing end-to-end data flows and conducting hands-on data analysis Designing improved data flows and architecture Overseeing project timelines and risks Utilizing and leading data programs with various products Managing consulting engagements in data architecture Automating processes and analytics Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance