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Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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

Support Center If you are a current Adventist HealthCare employee, please click this link to apply through your Workday account. Adventist HealthCare seeks to hire an experienced Data Engineer IV who will embrace our mission to extend God's care through the ministry of physical, mental, and spiritual healing. As a Data Engineer IV you will: Lead the creation and supports the ETL process to facilitate the on-boarding of data into the data warehouse and distribution of data across data stores from wide variety of sources using different ETL tools and technologies. Lead the design and develop the physical and virtual Data warehouse table schemas, database, data marts for new and existent data sources for the business's data warehouse. Lead the development and maintenance of informative and actionable data visualizations and reports for analysis, problem solving, and business solutions that highlights relevant business trends and opportunities for improvement. Lead all service operational tasks including but not limited to database setup, maintenance, configuration, programming, troubleshooting, debugging, testing, fulfilling support requests, resolving incidents, and managing problems. Lead the creation and support of routine and ad hoc data load processes through database refreshes and updates. Optimize data integration platform to provide optimal performance under increasing data volumes. Lead the preparation and maintenance of comprehensive understanding of data warehousing and ETL application lifecycle, technical architecture, data, configuration, and operational support requirements. Maintains detailed charts, diagrams, and flow charts outlining systems, hardware, interfaces, and configurations related to data warehousing, ETL jobs, Data visualization, Data analytics and other similar. Provide expertise in the design and development of best practice for big data stacking, data warehousing, data lake, ETL architecture, data federation, virtualization, data modeling procedures, data visualization, and workflows including technical documents. Lead the analytics support to generate insights in the form of dashboards, metrics, or reports for healthcare solutions including the collection of detail business analytics requirements from stakeholders and the development of standardized functional requirement documents. Lead the preparation of presentations and demonstrates business intelligence solutions to end users. Lead in the training of end users on new reports and dashboards Assist in leading the preparation of documents related to data governance, definitions, key metrics, and sample reports, ensuring alignment and consistency in reporting across the organization and standardized data analytics, visualization, and business intelligence reports. Lead the data Integration and data warehousing application portfolio support in the timely resolution of technology incidents while adhering to SLA prioritization and success measures including 24x7 on call support. Qualifications include: Bachelor's degree in computer science, information technology, or a related field. 7+ years' experience and knowledge of coding languages, including Java, XML, and SQL to extract data from various relational databases, application systems, flat files, XML documents, and load into data warehouses. 7+ years' experience in warehousing architecture techniques, including MOLAP, ROLAP, ODS, DM, and EDW. 7+ years' experience as an ETL developer using. integration tools such as Talend and SSIS. Experience working on cloud-based environment such as AWS or Azure. Experience working with large scale. Data warehouses and related technologies. 7+ years working on building meaningful data analytics, reports, and visualizations in health care environment. Snowflake experience is preferred. Experience in metadata management and related tools. Advanced knowledge of database security, integrity, backup and recovery, and performance monitoring standards. 3 Years Supervisory Experience. Preferred Cloud-Data Warehouse certification or ETL Certification or Data Visualization. Experience with business intelligence software applications such as Tableau visualization, PowerBI, SQL servicer Management studio, IBM Cognos B. Work Schedule: Day Shift Remote Pay Range: $116,227.90 - $174,341.85 If the salary range is listed as $0 or if the position is Per Diem (with a fixed rate), salary discussions will take place during the screening process. Under the Fair Labor Standards Act (FLSA), this position is classified as: United States of America (Exempt) At Adventist HealthCare our job is to care for you. We do this by offering: Work life balance through nonrotating shifts Recognition and rewards for professional expertise Free Employee parking Medical, Prescription, Dental, and Vision coverage for employees and their eligible dependents effective on your date of hire Employer-paid Short & Long-Term Disability, Basic Life Insurance and AD&D, (short-term disability buy-up available) Paid Time Off Employer retirement contribution and match after 1-year of eligible employment with a 3-year vesting period Voluntary benefits include flexible spending accounts, legal plans, and life, pet, auto, home, long term care, and critical illness & accident insurance Subsidized childcare at participating childcare centers Tuition Reimbursement Employee Assistance Program (EAP) support As a faith-based organization, with over a century of caring for the communities in the Maryland area, Adventist HealthCare has earned a reputation for high-quality, compassionate care. Adventist HealthCare was the first and is the largest healthcare provider in Montgomery County. If you want to make a difference in someone's life every day, consider a position with a team of professionals who are doing just that, making a difference. Join the Adventist HealthCare team today, apply now to be considered! COVID-19 Vaccination Adventist HealthCare strongly recommends all applicants to be fully vaccinated for COVID-19 before commencing employment. Applicants may be required to furnish proof of vaccination. Tobacco and Drug Statement Tobacco use is a well-recognized preventable cause of death in the United States and an important public health issue. In order to promote and maintain a healthy work environment, Adventist HealthCare will not hire applicants for employment who either state that they are nicotine users or who test positive for nicotine and drug use. While some jurisdictions, including Maryland, permit the use of marijuana for medical purposes, marijuana continues to be classified as an illegal drug under the federal Controlled Substances Act. As a result, medical marijuana use will not be accepted as a valid explanation for a positive drug test result. Adventist HealthCare will withdraw offers of employment to applicants who test positive for Cotinine (nicotine) and marijuana. Those testing positive are given the opportunity to re-apply in 90 days, if they can truthfully attest that they have not used any nicotine products in the past ninety (90) days and successfully pass follow-up testing. ("Nicotine products" include, but are not limited to: cigarettes, cigars, pipes, chewing tobacco, e-cigarettes, vaping products, hookah, and nicotine replacement products (e.g., nicotine gum, nicotine patches, nicotine lozenges, etc.). Equal Employment Opportunity Adventist HealthCare is an Equal Opportunity/Affirmative Action Employer. We are committed to attracting, engaging, and developing the best people to cultivate our mission-centric culture. Our goal is to have a welcoming, equitable, and safe place to work and grow for all employees, no matter their background. AHC does not discriminate in employment opportunities or practices on the basis of race, ethnicity, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, pregnancy and related medical conditions, protected veteran status, or any other characteristic protected by law. Adventist HealthCare will make reasonable accommodations for applicants with disabilities, in accordance with applicable law. Adventist HealthCare is a religious organization as defined under applicable law; however, it will endeavor to provide reasonable accommodations for applicants' religious beliefs. Applicants who wish to request accommodations for disabilities or religious belief should contact the Support Center HR Office.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. The hands-on Staff Data Engineer is responsible for designing and architecting highly scalable data storage solutions and platforms/tools for vehicle data, manufacturing, sales, finance and other data systems. If you enjoy architecting large-scale systems, working with a talented team of engineers, and collaborating with some of the brightest minds in the Automotive industry, Lucid is the place to experience it.   The Role: • Data Platform Leadership: Lead the architecture, design, and development of big data streaming systems and tools on business priorities and cost optimization. • Technology Utilization: Leverage cutting-edge distributed big data technologies such as Docker, Kubernetes, Spark, MQTT, gRPC, rosbag, Kafka, S3 Data Lake, and video/audio processing. • Team Leadership: Act as a hands-on technical leader, guiding the team in making key architectural decisions, unblocking challenges, and ensuring successful execution. • Application Architecture: Collaborate on application architecture and deep understanding of cloud data applications. Being able to close the gap between infrastructure and the data team. • Strategic Vision for Data Integration: Drive the technical and strategic vision for our data platform and work closely with the infrastructure team to meet current and future scalability and interoperability needs.   You Bring: • B.S. or M.S. in Computer Science or a related field. • 10+ years of hands-on industry experience in data architecture or software engineering. • 3+ years of experience architecting solutions and platform deployment for big data environments. • Deep knowledge of modern data/compute infrastructure and frameworks, such as Docker, Kubernetes, Spark, Kafka, S3 Data Lake, Parquet, rosbag, MQTT, and gRPC. • Proven experience in architecting streaming, real-time, and near real-time data pipelines using tools like Spark or Kafka. • Working knowledge of data lake architectures with Parquet and HCatalog. • Ability to cultivate a strong sense of ownership and build a culture of accountability within the team. • Openness to new ideas and the ability to evaluate multiple approaches, selecting the best based on fundamental qualities and supporting data. • Exceptional communication skills to articulate highly technical problems and solutions to diverse audiences, from engineers to executive leadership. • Proven track record of setting technical vision and delivering results in a collaborative, cross-functional environment. Salary Range : The compensation range for this position is specific to the locations listed below and is the range Lucid reasonably and in good faith expects to pay for the position taking into account the wide variety of factors that are considered in making compensation decisions, including job-related knowledge; skillset; experience, education and training; certifications; and other relevant business and organizational factors.   Additional Compensation and Benefits : Lucid offers a wide range of competitive benefits, including medical, dental, vision, life insurance, disability insurance, vacation, and 401k. The successful candidate may also be eligible to participate in Lucid’s equity program and/or a discretionary annual incentive program, subject to the rules governing such programs.  (Cash or equity incentive awards, if any, will depend on various factors, including, without limitation, individual and company performance.) Base Pay Range (Annual) $153,100 — $224,510 USD By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

Job Title: Business Analyst (Data Governance and Data Quality Management) Location: Auburn Hills, MI.  Must be local or relocation (out of pocket from day 1).  No exceptions.  HEAVY preference for locals in this group.  NO West Coast candidates (PST) will be considered Duration:  Long-term    Job Type: Contract – W2 Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MI NOTE: Highlighted Job duties ARE the  REQUIRED SKILLS , please make sure that they have details around these types of duties clearly outlined in their resumes.  Thank you. Location:  Auburn Hills, MI (at least two days on site per week) Business Analyst (Data Governance and Data Quality Management) · Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities  for the Chief Data & Analytics Office.  · Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting.  · Responsible for  researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog  to ensure it  aligns with regulatory expectations. · Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information . · Financial Services / Banking experience preferred .     Kindly please share your resumes to ‪ srikar@isofttekinc.com or ‪(707) 435-3471

Who We Are TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.  TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom: In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.  It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.  Who You Are You thrive on working well with others. You make the people around you better. You love to collaborate with fellow team members, customers, field engineers, executives, and inspire them to do their best. You relentlessly strive to excel in your craft. You are passionate about building, observing and operating distributed systems at scale in production. You understand the challenges and trade-offs to be made when building and deploying new systems to production and are willing to challenge the boundaries of the scale. You consistently seek understanding and clarity. You look at every interaction as an opportunity to learn. You aren’t afraid to ask questions. You have the humility and confidence to not be the smartest person in the room. What You Will Do Translate scientific data workflows into a solution leveraging the Tetra Data Platform Own, scope, prototype, and implement solutions ranging from: Programmatically interrogate proprietary instrument output file Data structure design using JSON schemas Python-based parser development Lab software (e.g. ELN/LIMS) integration via APIs Data visualization in Python (using frameworks like Jupyter Notebooks or Streamlit and plotting tools like hvplot or bokeh) and/or BI tools (like Tableau, Spotfire, PowerBI) Interview customers to understand key scientific and business requirements Work with customers to test and ensure a solution fulfills their requirements and solves their need Real-time problem solving by quickly internalizing customer needs or feedback, synthesizing the results, and proposing solutions Proactively communicate implementation progress and deliver demos to customer stakeholders Lead sprint-planning and prioritization for your use case or account Facilitate internal project retrospective meetings and identify areas of improvement or productizable components Assist product team to build and prioritize roadmap by understanding customers’ pain points within and outside Tetra Data Platform Requirements >5 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science >3 years in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space Ability to quickly understand a highly technical product and effectively communicate with product management and engineering Passionate about science and building solutions to make data more accessible to end-users Intellectually curious: unwavering drive to learn more every day Intellectually resilient: able to overcome setbacks and find alternate solutions Excellent communications skills, attention to detail, and the confidence to take control of project delivery Team player and ability to "roll up your sleeves" and do what it takes to make the team successful Travel to customer sites within EMEA (up to 20%) Nice to have:  hand on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture Benefits 100% employer-paid benefits for all eligible employees and immediate family members Unlimited paid time off (PTO) 401K Remote role - work where you want to work Company paid Life Insurance, LTD/STD We are not currently providing visa sponsorship for this position.

Senior Data Analyst At Current, we’re on a mission to enable our members to create better financial outcomes for themselves. Headquartered in NYC, we’re a leading U.S. fintech and one of the fastest growing companies with over million members. No matter your title, we welcome everyone to build great products, grow quickly, and make an impact together. ABOUT THE ROLE We are looking for a Senior Data Analyst with experience in B2C/DTC Member Experience or Customer Success. In this role, you will use data to drive strategic decisions, improve business performance, and enhance our customer interactions to create a seamless user experience. You will use advanced analytics to find trends, evaluate performance, and deliver strategic insights that facilitate data-driven decision-making within the Member Experience team and across the organization. The ideal candidate has a deep understanding of customer behavior, a passion for data-driven decision-making, and a proven ability to translate insights into actionable strategies. RESPONSIBILITIES Analyze member experience data to identify trends, pain points, and opportunities for operational efficiency. Develop and maintain data pipelines, dashboards and reports to track key performance indicators (KPIs) that tie customer success effectiveness, member satisfaction, and engagement to business bottomline metrics. Utilize internal and third-party data to conduct in-depth analyses, identify gaps, mitigate friction and pain points, and optimize customer interaction across channels. Partner with cross-functional teams, including Product, Engineering, and Customer Success, and leverage such techniques as A/B testing and customer segmentation to enhance personalization and support strategies. Provide actionable insights to leadership on customer outreach behavior, support efficiency and satisfaction, and areas for innovation. Ensure data integrity, accuracy, and governance in analytics pipelines across multiple customer interaction channels. Participate in on-call rotation to support production analytics data pipelines. Mentor junior analysts and contribute to a data-driven culture within the team. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a customer-centric industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience building reports and dashboards using data visualization tools such as Tableau, Looker, or Power BI. Expertise in customer support analytics, customer satisfaction score (CSAT) analysis, and operational efficiency metrics. Experience in A/B testing, customer segmentation, and deep dive analysis in the context of informing business strategies from user behaviors. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Strong project ownership and the ability to drive requirement gathering and prioritization. Experience with CRM systems (e.g., Zendesk) and customer feedback tools is a plus. Experience within the startup space is advantageous. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Stock options 401(k) savings plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Unlimited time off and paid holidays Generous parental leave policy Commuter benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

About the job Our Data Team is looking for a Data Engineer to make a difference in the further development of our Data Warehouse solutions, designing and developing our data platform for the business needs. You will have an opportunity to make a difference in the development of our Data Platform The Wow In this role, you will contribute in designing and developing our platform to fulfil the business needs and to also improve our systems. You will have the chance to design new data pipelines, maintain platforms hosted both on premise and cloud, manage real-time API integrations and apply transformations on data streams for batch-loading and real-time visualisations. For any Technical Data wiz out there, Betsson Group is the next step! This is the perfect environment to put your skills to the test by building a consolidated Data Platform with innovative features and most importantly joining a bunch of talented and fun group of people. A taste of what you will be involved in Maintaining and evolving our existing data platform; Involved in data integrations which includes internal data, 3rd parties, and also migrations; Ingestion of streaming data and applying transformations to data streams; Being involved in data modelling following data standards such as Inmon and Kimball Ensuring data quality by verifying data consistency and accuracy; Keeping up to date on research and development of new technologies and techniques to enhance our data platform; Collaborating with the Data DevOps, Business Intelligence and other multi-disciplined teams within Betsson; Comfortable working in an agile environment involving SDLC; Familiar with the change and release management process; Have an investigative mindset to be able to troubleshoot – thinking outside the box when it comes to troubleshooting problems and incident management; Full ownership on projects and tasks assigned together with being able to work within a Team; Able to document well processes and perform knowledge sharing sessions. What We Are Looking For Experience with modern cloud database technologies such as Snowflake; Experience with orchestrating data pipelines using Airflow; Experience with SQL, and Data Integration Tools; Experience with any programming language like Python or Java; Knowledge on AWS Services like S3/Lambda/API Gateways/DMS/RDS; Development experience in both Microsoft, and Linux/Cloud environments; Have strong analytical and problem-solving skills; Nice to have Familiar with Data Warehousing concepts and data modelling techniques such as Inmon, Kimball, Data Vault; Familiar with data streaming using technologies such as Kafka; Familiar with software versioning tools like GIT; Familiar with infrastructure scripting like Terraform; Familiar with data flow systems such as Apache NiFi; Familiar with Data Monitoring and Visualisation tools such as Prometheus and Grafana, Cloudwatch; Scripting - Powershell, Unix Scripting What we offer Monthly Allowance for Lunch Private & Life Plan Insurance for you and your family Team Building Budget Annual Wellness Allowance Corporate Travel Insurance Events and initiatives both Local (Quarterly Meetings) and Global Professional Development Programs & Internal Career Opportunities Milestone Birthday Challenge accepted? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy  

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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

Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for an Director - Data Scientist/Programmer to drive drug development through predictive modeling of disease and drug response. The Data Scientist will work closely with Biostatisticians in the Stat Methodology / Machine Learning group to support projects across various stages of development. This role will be integral in providing actionable insights for critical data science projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Analysis for Strategic Insights: Skilled in analyzing complex datasets to extract actionable insights, identify key trends and patterns, and provide data-driven recommendations that support and guide strategic decision-making. Data Storage & Processing: Extensive experience in designing, managing, and optimizing data storage solutions. Expertise in building and automating data pipelines for efficient data processing. AI-Driven Data Preparation: Experienced in leveraging AI and machine learning algorithms for automated data preparation, streamlining the transformation of raw data into high-quality, actionable insights. Skilled in using these techniques to create dynamic and interactive visualizations via Power BI, facilitating better decision-making and business intelligence. Natural Language Processing (NLP) & Large Language Models (LLM): Hands-on expertise in applying NLP techniques and LLMs to process and analyze unstructured data, generating insightful infographics and data-driven narratives. These methods help to uncover hidden patterns and deliver actionable insights for stakeholders in a visually compelling format. Pipeline Orchestration & Automation: Experienced in automating and orchestrating complex data pipelines using tools like Apache Airflow, Prefect, and Dagster to ensure seamless data flow and efficient workflows. Data Quality & Consistency: Proficient in establishing and enforcing validation rules to ensure data integrity, consistency, and high-quality standards throughout the data lifecycle. Incremental Data Loads: Skilled in implementing incremental data loading strategies to optimize data refresh cycles and minimize resource consumption. Event-Driven Automation: Implemented event-driven automation to ensure real-time and dynamic updates for dashboards, enhancing decision-making with live data. Low-Latency Data Processing: Ensured optimal performance and low-latency processing for delivering real-time, time-sensitive insights to stakeholders. Dashboard Optimization: Leveraged parameterized queries and other optimization techniques to enhance the performance and responsiveness of Power BI dashboards. Data Communication & Visualization: Proficient in presenting complex data findings to non-technical stakeholders through clear, visually compelling reports, interactive dashboards, and presentations that facilitate easy understanding and informed decision-making. Exploratory Data Analysis (EDA): Skilled in conducting thorough exploratory data analysis to assess data quality, uncover insights, and deepen understanding of data characteristics, ensuring data readiness for analysis and model building. Feature Engineering: Expertise in engineering relevant features from raw datasets to enhance model performance, improve predictive accuracy, and support the development of robust machine learning models. Qualifications Bachelor's Degree from an accredited institution with 7+ years of experience in a related role required; Master's degree preferred. In-depth knowledge of statistical analysis, machine learning algorithms, and data modeling techniques. Proficiency in programming languages such as Python or R, with hands-on experience in data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Experience with data visualization tools (e.g., Tableau, matplotlib) for effectively communicating insights. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure) is a plus. Strong problem-solving abilities, critical thinking, and the capacity to manage complex projects independently. Excellent communication and presentation skills, capable of translating complex concepts for both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Director, Data Scientist & Data Operations is from :196,800-258,300 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description NOTE: This position is not eligible for visa sponsorship. Skilled data analyst that can identify issues, work with large data sets, and prescribe appropriate solutions. Experienced with data batch processing, Informatica/Spark (ETL), writing data specifications and data mapping, and performing data validation. Strong understanding of complex data pipelines with knowledge of banking transactions and foreign/domestic payments. Passionate about solving problems. Partners closely with customers (internal and external), the business line(s) and Agile teams to drive the evolution of data as a product. Experience in designing and implementing data pipelines that deliver accurate, timely, and reliable data. Maintains and refines product backlog; creates user stories and acceptance criteria and prioritizes all stories to ensure work focuses on those with maximum business value that aligns with product strategy. Work closely in a hands-on style with development team including addressing daily prioritization needs, providing real-time feedback and answering questions on an ongoing basis. Works with Product Management to set release dates, determine when sufficient value has been delivered to release to market, understand tradeoffs between schedule, scope and budget and communicates this information to the organization. Basic Qualifications Bachelor's degree in related field or related work experience Typically more than eight years of applicable experience Preferred Skills/Experience Subject matter expertise in the AML transaction monitoring or similar domain (e.g. Fraud, KYC, Payments) Demonstrated leadership and interpersonal skills including ability to collaborate with and empower teams Skilled in performing data analysis and prescribing solutions to data problems. Knowledge of payments, wires and data mapping. Expert at coordinating and performing data testing and validation. Knowledge of AML TM and regulatory expectations on data quality and controls. Programming and writing queries on large data sets using SQL. Highly technical with strong understanding of data transformation. Strong presentation, interpersonal, written and verbal communication skills Proficient computer navigation skills using a variety of software packages, including Microsoft Office applications and word processing, spreadsheets, databases, and presentations Experience using agile delivery tools such as Jira and/or Version One Basic knowledge of applicable laws, regulations, financial services, and regulatory trends that impact their assigned line of business Well-developed ability to collaboratively develop and evolve a product backlog Well-developed ability to develop and articulate a product vision that supports outcomes, value and prioritization of work Thorough understanding of the Lean/Agile mindset NOTE: This role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days. NOTE: This position is not eligible for visa sponsorship. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours): Healthcare (medical, dental, vision) Basic term and optional term life insurance Short-term and long-term disability Pregnancy disability and parental leave 401(k) and employer-funded retirement plan Paid vacation (from two to five weeks depending on salary grade and tenure) Up to 11 paid holiday opportunities Adoption assistance Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $111,605.00 - $131,300.00 - $144,430.00 U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

What We Do Milliman IntelliScript is a group of a few hundred experts in fields ranging from actuarial science to information technology to clinical practice. Together, we develop and deploy category-defining, data-driven, software-as-a-service (SaaS) products for a broad spectrum of insurance, health IT and life sciences clients. We are a business unit within Milliman, Inc., a respected consultancy with offices around the world. Candidates who have their pick of jobs are drawn to IntelliScript's entrepreneurial and collaborative culture of innovation, excellence, exceptional customer service, balance, and transparency. Every single person has a voice in our company, and we challenge each other to push the outer limits of our full, diverse potential. And we've shown sustained growth that ensures you'll have room to grow your skillset, responsibilities, and career. Our team is smart, down-to-earth, and ready to listen to your best ideas. We reward excellence and offer competitive compensation and benefits. Visit our LinkedIn page for a closer look at our company and learn more about our cultural values here. Milliman invests in skills training and career development and gives all employees access to a variety of learning and mentoring opportunities. Our growing number of Milliman Employee Resource Groups (ERGs) are employee-led communities that influence policy decisions, develop future leaders, and amplify the voices of their constituents. We encourage our employees to give back to their varied professions, including leadership in professional organizations. Please visit our website to learn more about Milliman's commitments to our people, diversity and inclusion, social impact, and sustainability. What this position entails IntelliScript's Data has been a key part of our success and is critical to our future. In this position as a Senior Data Engineer of IntelliScript's Data Platform, you will be responsible for designing and implementing robust Data Platform solutions that meet our business objectives while ensuring compliance with industry-leading data privacy standards. You will collaborate closely with cross-functional agile teams to drive data architecture decisions, implement best practices, and contribute to the success of our projects. What you will be doing Data Platform: Creation of a Databricks Data Warehouse(s) and Lakehouse solutions for a healthcare data focused enterprise. Data Governance: Configuring and maintaining unity catalog to enable enterprise data lineage and data quality Data Security: Building out Data Security protocols and best practices including the management of identified and de-identified (PHI/PII) solutions External Data Products: Building data solutions for clients while upholding the best standards for reliability, quality, and performance ETL: Building solutions within Delta Live Tables and automation of transformations Medallion Architecture: Building out performant enterprise-level medallion architecture(s) Streaming and Batch Processing: Building fit-for-purpose near real-time streaming and batch solutions Large Data Management: Building out performant and efficient enterprise solutions for internal and external users for both structured and unstructured healthcare data Platform Engineering: Building out Infrastructure as Code using Terraform and Asset Bundles Costs: Working with the business to build cost effective and cost transparent Data solutions Pipeline/ETL Management: You will help architect, build, and maintain robust and scalable data pipelines, monitoring, and optimizing performance Experience working with Migration tools i.e., AWS DMS, AWS Glue, Fivetran, integrate.io Identify and implement improvements to enhance data processing efficiency Experience with building out effective pipeline monitoring solutions Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Delta Live Tables, Python, Scala, and cloud-based 'big data' technologies. Data Modeling: Lead design, implementation, and maintenance of standards based (FHIR, OMOP, etc.) and efficient data models for both structured and unstructured data Assemble large, complex data sets that meet functional and non-functional business requirements Develop and maintain data models, ensuring they align with business objectives and data privacy regulations Collaboration: Partner internally and externally with key stakeholders to ensure we are providing meaningful, functional, and valuable data Effectively work with Data, Development, Analysts, Data Science, and Business team members to gather requirements, propose, and build solutions. Communicate complex technical concepts to non-technical stakeholders and provide guidance on best practices. Ensure that technology execution aligns with business strategy and provides efficient, secure solutions and systems Processes and Tools: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build analytics tools that utilize the data pipeline to provide actionable insights into operational efficiency and other key business performance metrics. Create data tools for clinical, analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. What we need 7+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products Expert level experience working in Databricks and AWS Expert level experience working in both relational and non-relational databases such as SQL Server, PostgreSQL, and MongoDB Experience managing and standardizing clinical data from structured and unstructured sources Experience building and managing solutions on AWS Expert knowledge in healthcare standards including FHIR, C-CDA, and traditional HL7 Expert knowledge in clinical standards/ontologies including ICD10/SNOMED/NDC/LOINC/Rx Norm Expert in building out data models, data warehouses, designing of data lakes for enterprise (and product use) Familiarity with designing and building APIs, ETL and data ingestion processes and utilization of tools to support enterprise solutions. Experience in performance tuning, query optimization, security, monitoring, and release management. Experience working with and managing large, disparate, identified and de-identified data sets from multiple data sources What you bring to the table Demonstrated "let's find a way to do it" attitude - no task is too big or too small Effective collaboration and communication across multiple technical and non-technical disciplines Comfortable working through ambiguous situations Able to teach & mentor others on new/emerging technologies Customer obsessed with a business-centric focus Able to understand both strategic and tactical needs and balance appropriately Driven, thorough and self-directed Able to lead through influence and persuasion Wish list Bachelor's degree or master's degree in computer science, data engineering or related field 10+ years of relevant experience in design, development, and testing of Data Platform solutions, such as Data Warehouses, Data Lakes, and Data Products Health and Life Insurance business experience Associate or Professional level solution architecture certification in Azure and/or AWS Experience in Snowflake Location The expected application deadline for this job is June 30, 2025. This position is open to remote work. Applicants must be willing to travel to the Milliman office in Brookfield, WI as needed and travel nationwide for meetings, conferences, and team events. The salary range is $98,000 - $222,000, depending on relevant factors, including but not limited to, education, relevant work experience, qualifications, skills, certifications, location, etc. If relevant experience is less than 10 years the range would be $98,000 - $198,000; for experience of greater than 10 years, the range would be $109,000 - $222,000. In addition, we offer a performance-based bonus plan, profit sharing, and generous benefits. Milliman Benefits (Full time U.S. positions only) At Milliman, we focus on creating an environment that recognizes - and meets - the personal and professional needs of the individual and their family. We offer competitive benefits which include the following based on plan eligibility: Medical, dental and vision coverage for employees and their dependents, including domestic partners A 401(k) plan with matching program, and profit-sharing contribution Employee Assistance Program (EAP) A discretionary bonus program Paid Time Off (PTO) starts accruing on the first day of work and can be used for any reason; full-time employees will accrue 15 days of PTO per year, and employees working less than a full-time schedule will accrue PTO at a prorated amount based on hours worked Family building benefits, including adoption and fertility assistance and paid parental leave up to 12 weeks for employees who have worked for Milliman for at least 12 months and have worked at least 1,250 hours in the preceding 12-month period Commuter Program, which allows you to use pre-tax dollars to pay for your parking or public transit expenses to get to and from work. You may utilize this benefit any time throughout the year and funds will be available the first of the month following your first contribution A minimum of eight paid holidays Milliman covers 100% of the premiums for life insurance, AD&D, and both short-term and long-term disability coverage Flexible spending accounts allow employees to set aside pre-tax dollars to pay for dependent care, transportation, and applicable medical needs Equal Opportunity All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Industry/Sector Not Applicable Specialism Data Quality Assurance Management Level Senior Manager Job Description & Summary At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations. In data quality assurance at PwC, you will be responsible for the accuracy and reliability of data through testing and validation processes. You will play a crucial role in maintaining data integrity and identifying areas for improvement in data management systems. 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. The Opportunity As part of the Data Management team you, you enhance data management and quality assurance through AI-driven automation strategies. As a Senior Manager, you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a senior level to drive project success. You improve data quality and integrity through AI-powered anomaly detection and predictive analytics, promoting ethical AI usage and compliance with regulatory requirements. Responsibilities Lead and manage large-scale data management projects Innovate and enhance processes to promote operational excellence Interact with clients at a senior level to secure project success Improve data quality using AI-driven anomaly detection Maintain compliance with ethical AI usage and regulatory standards Implement AI-powered predictive analytics for data integrity Drive strategic initiatives in data quality assurance Foster a culture of continuous improvement and innovation What You Must Have High School Diploma 6 years of experience in progressive roles on data analytics, data management, quality assurance processes/technology What Sets You Apart Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, or Engineering preferred Developing AI-driven automation strategies Leading AI and automation teams Integrating AI-driven solutions into data ecosystems Driving AI governance and compliance strategies Applying graph database technologies Defining and tracking AI-driven performance metrics Demonstrating proficiency in AI and automation Travel Requirements Up to 20% 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

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Data Operations Group at Eisai, Inc. is looking for Associate Director - Data Scientist/Programmer to create insightful AI powered instantaneous dashboards. The Data Scientist will work closely with Data Operations and Biostatisticians in the ingestion, streaming and producing dashboards to support projects across various stages of development. This role will be integral in providing actionable insights for critical projects that are vital to our business. This position may be either office based (hybrid) in Nutley, NJ, or remote based. Responsibilities Data Extraction & Analysis: Extract and manipulate complex datasets to generate detailed reports, charts, and graphs, analyzing for outliers, root causes, business impacts, correlations, and discrepancies. Proactively propose alternative solutions to optimize business outcomes. AI-Driven Data Preparation: Skilled in utilizing AI and machine learning techniques for automated data preparation, particularly for creating dynamic visualizations and insights through Power BI tools. Natural Language Processing & LLM: Hands-on experience with Large Language Models (LLM) and Natural Language Processing (NLP) techniques to generate insightful infographics and actionable data-driven insights. Data Preparation for Analysis: Prepare data for modeling by cleaning datasets, addressing missing values, and eliminating outliers to ensure high-quality inputs for accurate and effective model development. Insight Generation for Drug Discovery: Identify patterns and root causes within data to generate meaningful insights that directly support and drive the drug discovery and development processes. Comprehensive Data Integration: Integrate diverse data sources (clinical, biological, etc.) to create comprehensive analyses that provide a holistic view of ongoing projects, facilitating informed decision-making. Model Training & Data Quality Assessment: Assess the quality of data for model training and testing, ensuring reliable and accurate models for predictive analysis and decision support. Clear Communication of Findings: Present data-driven proposals and findings in a clear and actionable format, offering insights and recommendations that inform strategic business decisions. Collaboration Across Teams: Collaborate with data scientists, biostatisticians, and the Data Standards team on data collection, feature design, and cross-team initiatives, ensuring consistency and alignment in data practices. Data Communication & Visualization: Effectively communicate complex findings to various audiences using clear writing, data visualizations, BI reports, and dashboards, ensuring accessibility and understanding across technical and non-technical stakeholders. Qualifications Computer Science or equivalent Bachelor's degree from an accredited institution with research projects is required; Master's degree preferred. Extensive expertise in data modeling techniques. Proficient in Python or R, with strong experience in data manipulation and analysis libraries. Skilled in using data visualization tools (e.g., Tableau, matplotlib) to present insights clearly and effectively. Strong problem-solving and critical thinking abilities, with the capability to manage complex projects independently. Excellent communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Eisai Salary Transparency Language: The base salary range for the Associate Director, Data Scientist & Data Operations is from :171,100-224,600 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://us.eisai.com/careers-at-eisai/benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

Industry/Sector Not Applicable Specialism Cybersecurity & Privacy Management Level Senior Associate Job Description & Summary At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data. Those in information security at PwC will focus on protecting sensitive data and systems from cyber threats through risk assessments, security audits, and implementing robust security measures. Your work will help enable the confidentiality, integrity, and availability of information assets for clients. 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. The Opportunity As part of the Cybersecurity team you contribute to the development and implementation of data governance strategies and practices. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building client relationships and developing a deeper understanding of the business context. You are responsible for leading data governance projects, defining strategies and roadmaps, and supporting technology implementation in a complex business environment. Responsibilities Lead initiatives in data governance and strategy development Develop, implement, and maintain data quality processes to ensure data integrity across the organization. Develop and implement data integration solutions for metadata, data lineage, and data quality. Monitor data quality metrics and perform regular data quality assessments. Develop, implement, and maintain data quality processes to ensure data integrity across the organization by monitoring data quality metrics, performing regular data quality assessments, and collaborating with data owners and stewards to ensure compliance with data quality standards. Collaborate with data owners and stewards to ensure compliance with data quality standards. Guide and mentor team members to uphold exemplary standards Cultivate meaningful client relationships and understand their business needs Drive the execution of data governance projects and roadmaps Support the integration of technology solutions in complex settings Analyze intricate problems to deliver impactful solutions Foster a culture of continuous improvement and learning Maintain adherence to cybersecurity and information security protocols What You Must Have Bachelor's Degree in Computer Engineering, Computer Applications, Computer Management, Computer Science, Computer and Information Science, Computer Programming 3 years of experience What Sets You Apart Master's Degree preferred EDM Council DCAM Assessor, Data Governance & Stewardship Professional (DGSP), and DAMA Data Management Professional (CDMP) certifications preferred Managing projects with data governance strategy and architecture Leading Data Governance projects and defining strategy Deploying data lineage and data flow inventory solutions Implementing structured data archiving and lifecycle management Understanding data privacy and regulatory aspects Experience with implementation of Batch, and API pipelines. Experience with SQL, DQ tools like collibra, monte carlo, soda, informatica, anomalo, Experience implementing data quality framework and socialization Understanding of data observability frameworks Hands on experience with platform observability tools like datadog, Grafana, Splunk Experience driving incident management initiatives. Good understanding of the stages of incidents Designing conceptual and physical data architecture Utilizing data quality tools for rule development Travel Requirements Up to 40% 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: $84,000 - $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