Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code. What We Value: Integrity, Humility, Happiness What We Expect: Initiative, Collaboration, Completion Role: You will be joining the data science team that is focused on model optimization, will research, prototype, and validate low‑precision techniques that make neural networks leaner and faster on the Chimera GPNPU. Your analyses will set the quantization recipes that ship in the Chimera SDK and influence future hardware features. Responsibilities: Design statistically rigorous experiments to compare PTQ, QAT, pruning, and mixed‑precision schemes on vision, language, and multimodal models. Build calibration datasets; develop Python notebooks/dashboards to track accuracy, latency, power, and memory trade‑offs. Perform layer‑ and token‑level error analysis to guide numerical‐format choices. Partner with compiler team to convert your findings into turnkey SDK flows and reference configs. Publish internal whitepapers, external benchmarks, and present results to customers and at industry events. Monitor academic literature in compression and efficient inference; translate promising ideas into reproducible prototypes.

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Dataiku. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: This is an Office Centric role, 5 days a week in the office (Atlanta preferred) CDIS (Cyber Data Integration Solutions) team delivers cybersecurity metrics by partnering with various security teams across the bank and for the benefit of various audiences (from operational, to GRC, audit, and organizational leadership). To support these efforts, Software Engineers on the team help build and support secure and scalable methods of data ingestion (API, database, or file-based), maintain the ingestion processes, and troubleshoot any ingestion-related issues. CDIS Software Engineers are challenged to deliver technically complex solutions, to perform system integration support for all project work, and to consult and partner with the business product owners to understand the end goal and offer solutions and recommendations during the design. For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.) ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. Develop customized coding, software integration, perform analysis, configure solutions, using tools specific to the project or the area. Utilize Python API development with particular experience with data ingestion, manipulation and authentication. Lead and participate in the development, testing, implementation, maintenance, and support of highly complex solutions in adherence to company standards, including robust unit testing and support for subsequent release testing. Build in and maintain security controls and monitoring in support of company standards. Typically lead moderately complex projects and participate in larger, more complex initiatives. Solve complex technical and operational problems. Act as a resource for teammates with less experience. May oversee the work of a small team. In an Agile environment: Responsible for delivering high quality working software and automating manual/reusable tasks working directly, and engage with, the business from the beginning of the design work. Leverage continuous engineering practices to deliver business value regarding effectiveness of the design. Actively participate in refining user stories. Responsible for design, developing, and maintaining automated unit testing, and supporting integration and functional testing. Responsible for providing automated monitoring capabilities, providing warranty support, and providing knowledge transfer to production support. Develop code in accordance with the acceptance criteria established by the Product Owner. Required Qualifications The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree and four to seven years of experience or equivalent education and software engineering training or experience In-depth knowledge in information systems and ability to identify, apply, and implement IT best practices Understanding of key business processes and competitive strategies related to the IT function Ability to plan and manage projects and solve complex problems by applying best practices Ability to provide direction and mentor less experienced teammates. Ability to interpret and convey complex, difficult, or sensitive information Preferred Qualifications: College degree in Computer Science, math or related field of study. Bachelor's degree in computer science, computer engineering or related degree and eight years of experience or an equivalent combination of education and work experience Advanced Python proficiency (API development), intermediate/advanced C# proficiency is a critical skill to have for this role Solid knowledge of relational database and data warehouse design and development (SQL, stored procedures, data modeling) Advanced understanding and experience with CI/CD framework Banking or financial services experience. Knowledge of one or more of the following: Solid foundation in data structures, algorithms, and software design with strong analytical and debugging skills Professional experience building high-quality apps or services from the ground up and scaling at an enterprise level Experience with cloud technologies, such as AWS, Azure, or GCP Experience using web servers, application containers, caching technologies OTHER JOB REQUIREMENTS / WORKING CONDITIONS Sitting Constantly (More than 50% of the time) Standing Frequently (25% - 50% of the time) Walking Frequently (25% - 50% of the time) Visual / Audio / Speaking Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. Manual Dexterity / Keyboarding Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. Availability Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. Travel Minimal and up to 10% General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law E-Verify IER Right to Work

Hiring near our US Centers of Excellence. Irving, TX Stamford, CT Gartner offers a flexible environment, with remote work that allows associates great flexibility to work from home, and opportunities to connect with colleagues for moments that matter on-site. Candidates that apply should be located within a reasonable proximity to one of Gartner's Centers of Excellence office locations. About Gartner IT: Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. About this role: We are seeking a Senior Software Engineer who serves as a technical anchor for the team. In this role, you will be responsible for leading medium-sized initiatives, providing sound technical guidance, and ensuring our web services are built for scale and reliability. You are an engineer who balances hands-on development with the ability to influence technical direction and mentor peers. What you'll do: Provide leadership and guidance for medium-sized initiatives, ensuring solutions are scalable and incorporate strategic considerations. Contribute actively to architectural discussions and design sound, maintainable web services using Java or Python. Promote organizational values within the team and ensure technical decisions align with broader team goals and best practices. Design and implement robust ETL/ELT pipelines and ML Engineering workflows that meet performance and reliability requirements. Develop strong communication skills to articulate technical concepts to various stakeholders and influence technical direction at the Business Unit level. Actively seek opportunities to mentor junior and peer engineers, fostering a culture of continuous learning and growth Must have: 5+ years of professional experience in the IT industry. Experience and strong knowledge about REST APIs, API performance / scaling and best practices Strong command of Data Structures, Algorithms, and Design Patterns to build moderately complex and efficient systems. Significant experience developing and maintaining production-scale, customer-facing web services. Hands-on exposure to OpenSearch or ElasticSearch and a solid understanding of different storage engines (SQL and NoSQL). Familiarity with AWS environments and a working knowledge of CI/CD pipelines and DevOps practices. Nice to have: Practical experience managing the data lifecycle through ETL/ELT processes and deploying ML models into production. Experience with Agentic Workflows or AI-driven automation. Proven track record of improving team velocity through better tooling or process improvements. Who you are: Excellent communication skills. Attitude and aptitude to learn, collaborate, and work towards common goals of the team. Must be a team player. Able to work independently or within but interact with a team proactively collaboratively in a fast-paced AGILE-SCRUM environment. Owns success - Takes responsibility for the successful delivery Feels strongly about the importance of Master Data and will do your best to improve its quality and trust across the organization Strong desire to improve upon their skills in tools and technologies Don't meet every single requirement? We encourage you to apply anyway. You might be the right candidate for this or other roles. What you will get: Competitive compensation. Limitless growth and learning opportunities. Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses, certification opportunities and more! A collaborative and positive culture - join a diverse team of professionals that are as smart and driven as you. A chance to make an impact - your work will contribute directly to our strategy. Enjoy the flexibility of working from home and the energy of collaborating with peers in our dynamic offices. 20+ PTO days plus holidays and floating holidays in your first year. Extensive medical, dental insurance and vision plan. 401K with corporate match, immediate vesting. Health-and-wellness-related allowance programs. Parental leave. Tuition reimbursement. Employee Stock Purchase Plan. Employee Assistance Program. Gartner Gives Charity Match. And much more! #TW1 Who are we? At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities. Since our founding in 1979, we've grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. What makes Gartner a great place to work? Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance. We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients. Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. What do we offer? Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers. In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Ready to grow your career with Gartner? Join us. Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 100,000 USD - 154,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more. The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity. Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to ApplicantAccommodations@gartner.com. Job Requisition ID:106849 By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence. Gartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.

Wellfit is the dental industry's fintech solution! A healthcare fintech company that enhances experiences between patients, providers, employers and payors. Wellfit provides access to treatment and care of all by removing financial barriers. About the role: The CRM Data Analyst is the business owner of CRM data integrity and logic, responsible for ensuring that Microsoft Dynamics CRM is accurate, trustworthy, and usable by Sales, Marketing, and Operations. This role sits on the business side of the CRM, partnering closely with Sales and acting as a liaison to technical teams to ensure data is entered correctly, maintained consistently, and executes as intended. This is an analyst-first role, not a pure marketing or technical position. Success is measured by data accuracy, logical consistency, and CRM reliability-not campaign volume. The ideal candidate is highly detail-oriented, quantitatively minded, and comfortable working "in the weeds" of CRM data, workflows, and logic validation. What You'll Do: Core Responsibilities (Primary Focus) CRM Data Ownership & Governance Serve as the primary business-side owner of CRM data quality within Microsoft Dynamics. Define, document, and enforce CRM data entry standards, usage rules, and best practices across Sales and related teams. Partner with Sales leadership to ensure opportunities, leads, contacts, and accounts are structured and maintained correctly. Data Quality, Auditing & Logic Validation Perform regular audits of CRM data to identify errors, duplicates, incomplete records, and logic inconsistencies. Validate that CRM workflows, automation rules, and customer journey logic execute correctly and align with intended business behavior. Troubleshoot cases where data or logic "does not behave as expected," identifying root causes and coordinating fixes with technical teams when needed. Customer Journey & Automation Logic Design, maintain, and test logic-based customer journeys and email workflows within the CRM. Build conditional logic based on customer attributes, behaviors, and lifecycle stages. Ensure journeys are accurate, tested, and consistently performing as designed before and after deployment. Cross-Functional Collaboration Act as a liaison between Sales, Marketing, and technical CRM resources. Translate business requirements into clean, logical CRM configurations. Support CRM-related questions from business users and guide correct usage. Required Qualifications Bachelor's degree in Business, Information Systems, Data Analytics, Marketing Operations, or related field. 1-2+ years of hands-on experience maintaining CRM data in a production environment, preferably Microsoft Dynamics. Demonstrated experience with CRM data audits, cleansing, deduplication, and validation. Experience building and testing logic-based workflows or email automation within a CRM or marketing automation platform. Strong analytical and logical thinking skills; comfortable reasoning through data structures and workflow behavior. Advanced Excel skills (e.g., VLOOKUP/XLOOKUP, data validation, data cleansing). Ability to read and reason about data queries or data feeds (SQL familiarity strongly preferred, even if not writing complex queries). Exceptional attention to detail and ability to maintain accuracy during repetitive or high-volume work. Strong communication skills and ability to work cross-functionally with Sales, Marketing, and technical teams. $75,000 - $85,000 a year Alongside a competitive annual bonus, we offer a 401(k) with up to a 4% match, generous paid time off, and comprehensive healthcare benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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

Data Scientist, Senior The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience with production-level systems, data lake environments, and streaming data, including Kafka Experience implementing end-to-end ML workflows from data prep to deployment and evaluation Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week TS/SCI clearance Bachelor's degree Nice If You Have: Experience in collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Data Engineer The Opportunity: Do you want to work at the forefront of advanced technology and solve complex data challenges? You know that data yields pivotal insights when it's gathered from disparate sources and organized. As a Data Engineer, you have the chance to develop and deploy the pipelines and platforms that make this data meaningful. What's more, you'll have the chance to grow Booz Allen's DataOps and MLOps capabilities while working with a multi-disciplinary team of analysts, data engineers, data scientists, developers, and data consumers in a fast-paced, agile environment. This is an opportunity to support data engineering activities on a high visibility and highly impacting analytics program for a Fortune 500 company. Driving innovation, you'll have the chance to help architect a new data platform and build out modern and automated ETL data pipelines. Due to the nature of work performed within this facility, U.S. citizenship is required. Work with us to use big data for good. Join us. The world can't wait. You Have: 5+ years of experience with building scalable ETL and ELT workflows for reporting and analytics 5+ years of experience with Python and SQL 5+ years of experience in working with big data technologies, including Databricks and distributed computing processing such as Spark 4+ years of experience in working with cloud data technologies and architecture 2+ years of experience with utilizing programming languages, including C++, Java, or Python Experience in creating solutions within a collaborative, cross-functional team environment Bachelor's degree Nice If You Have: 3+ years of experience with working in an Agile development environment Experience in application development utilizing SQL or Scala Ability to manage activities and tasks from start to finish Ability to quickly learn technical concepts and communicate with multiple functional groups Ability to display a positive, can-do attitude to solve challenges Bachelor's degree in Computer Science or Computer Engineering Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Company Overview: Headquartered in suburban Atlanta, Georgia, Artivion, Inc. is a medical device company focused on developing simple, elegant solutions that address cardiac and vascular surgeons' most difficult challenges in treating patients with aortic diseases. Artivion has over 1,400 employees worldwide with sales representation in over 100 countries. The Company has manufacturing facilities located in Atlanta, Georgia, Austin, Texas and Hechingen, Germany. Additionally, it has sales and distribution offices in various countries throughout Europe, Asia, and South America. For additional information about Artivion, visit our website, www.artivion.com. Position Overview & Responsibilities: Manage assigned departmental project tasks/systems in principal areas of responsibilities identified below: Assigned to low and moderately complex project tasks, supporting a Clinical Data Manager. Works under the direct supervision of an experienced Clinical Data Manager. Collaborates with internal and external partners as instructed. Follows processes as described in Work Instructions, SOPs and as instructed. Assists in the development and modification of clinical databases. Executes UAT. Drafts modifications in eCRF specifications. Drafts edit/manual checks and CCGs. Performs user management and system administration for utilized electronic systems. Reviews clinical data using edit/manual checks and listings and provides query management. Programs, validates and/or executes study-specific reporting tools. Performs vendor data reconciliation. Files Clinical Data Management documents and performs document completion checks. Performs quality checks as instructed by senior CDM team members. Generates data export, if applicable. Maintains financial tracker. Confirms performed service in invoices. Qualifications: 1-3 years' experience. Bachelor's degree Strong analytical skills Proficiency with computer software programs

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Senior Data Engineer to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets that describe and track Robinhood's key metrics across all products. You'll partner closely with engineers, data scientists and business teams to power analytics, experimentation, and machine learning use cases. We are a fast-paced team in a fast growing company and this is a unique opportunity to help lay the foundation for reliable, impactful, data-driven decisions across the company for years to come. The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations. What you'll do Help define and build key datasets across all Robinhood product areas. Lead the evolution of these datasets as use cases grow. Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake. Partner with upstream engineering teams to enhance data generation patterns. Partner with data consumers across Robinhood to understand consumption patterns and design intuitive data models. Ideate and contribute to shared data engineering tooling and standards. Define and promote data engineering best practices across the company. What you bring 5+ years of professional experience building end-to-end data pipelines Hands-on software engineering experience, with the ability to write production-level code in Python for user-facing applications, services, or systems (not just data scripting or automation). Expert at building and maintaining large-scale data pipelines using open source frameworks (Spark, Flink, etc) Strong SQL (Presto, Spark SQL, etc) skills. Experience solving problems across the data stack (Data Infrastructure, Analytics and Visualization platforms) Expert collaborator with the ability to democratize data through actionable insights and solutions. What we offer Market competitive and pay equity-focused compensation structure 100% paid health insurance for employees with 90% coverage for dependents Annual lifestyle wallet for personal wellness, learning and development, and more! Lifetime maximum benefit for family forming and fertility benefits Dedicated mental health support for employees and eligible dependents Generous time away including company holidays, paid time off, sick time, parental leave, and more! Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits. Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process. Base Pay Range: Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC) $187,000-$198,000 USD Zone 2 (Denver, CO; Westlake, TX; Chicago, IL) $165,000-$174,600 USD Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL) $146,000-$154,800 USD Click here to learn more about our Total Rewards, which vary by region and entity. If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application. Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work-welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.

You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most. At Bose, we believe sound is the most powerful force on earth. We've dedicated ourselves to improving it for more than 60 years. And we're passionate down to our bones about making whatever you're listening to a little more magical. Job Description ABOUT BOSE You know the moment. It's the first notes of that song you love, the intro to your favorite movie, or simply the sound of someone you love saying "hello." It's in these moments that sound matters most. At Bose, we believe sound is the most powerful force on earth. And we've dedicated ourselves to improving it for nearly 60 years. Ever since our founder, Dr. Amar Bose, bought a stereo system and thought, "I can make this better," we've been relentlessly pushing forward to the next best thing. Innovation is more than what we do. It's who we are - constantly learning and constantly curious. We never stop imagining what better sound sounds like. We're music fanatics and audio engineers. We're explorers and inventors and dreamers. And we're passionate down to our bones about making whatever you're listening to a little more magical. The Role: At Bose, we aim to bring products into the world that people truly love, and we don't stop until the details are just right. Data science, machine learning, and analytics are a crucial part of this mission. These capabilities fuel the creation of new and innovative products, helping us to bring the right products to the right customers, and allow us to astonish customers with carefully crafted and personalized experiences. We are looking for Senior Data Scientist, ideally with a background in supply chain modeling and causal modeling, to join our Data Science team within our Data and Analytics CoE. As a data scientist within the CoE, your mission will be to develop world-class AI, data science, machine learning, and related solutions to solve for our biggest challenges. Within this role you will focus on driving the strategy for and building the next generation of forecasting models. You will work with a cross-functional team of data scientists and partner with teams from across Bose to influence decisions that will drive a significant impact to our bottom-line and our customers. Responsibilities: Engage with business partners and stakeholders to understand business problems and translate them into data science solutions. Coordinate and collaborate with data science, data engineering, analytic engineering, and other resources to achieve business goals. Work cross-functionally with sales, product, marketing, and engineering on optimization opportunities and insights. Lead and contribute to the end-to-end development and deployment of predictive and prescriptive models, with a focus on supply chain and causal modeling. Explore large datasets using modeling, analysis, and visualization techniques. Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders. Ability to mentor, coach, and lead others. Contribute to and help build ML/AI vision to support business strategy. Education: MS or PhD in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field Completed coursework related to Statistics, Computer Science, Machine Learning, and Data Science Completed coursework related to Business/Management or Business/Customer Analytics Skills: 7+ years of experience applying data science, AI/machine learning, and analytics techniques to business problems 2+ years of experience leading data science projects Experience with machine learning, probabilistic forecasting, optimization and causal modeling techniques, with a focus in supply chain modeling. Experience with experimental research methods (DOE, RCT, Quasi-experimental design) Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems Excellent strategic thinking, communication, collaboration, and problem-solving skills, including working with and articulating results to senior business stakeholders. Experience with and understanding of project management tools and principles Ideal candidates will have experience with MMM as well. At Bose, you're inspired to be and do your best and are rewarded for your unique talents! Our compensation is thoughtfully tailored to your skills, experience, education, and location, and goes beyond base salary. The hiring range for this position in Framingham, Massachusetts is: $120,000-$165,000.In addition to competitive base pay we offer rewards including bonus programs, comprehensive health and welfare benefits, a 401(k) plan, plus exclusive perks designed to support your wellbeing, and a generous employee discount where you can immerse yourself in our products and experiences. We are a proudly independent company-driven by purpose, guided by our values, and united by a belief in the power of sound. As the world leader in audio experiences, we're creating what's next-pushing boundaries and delivering transformative sound experiences for people everywhere. Join us and make your next career move a mic-drop. Let's Make Waves. Bose is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status, or any other legally protected characteristics. The EEOC's "Know Your Rights: Workplace discrimination is illegal" Poster is available here: https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf . Bose is committed to providing reasonable accommodations to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to applicant_disability_accommodationrequest@bose.com. Please include "Application Accommodation Request" in the subject of the email. Our goal is to create an atmosphere where every candidate feels supported and empowered in the interviewing process. Diversity and inclusion are integral to our success, and we believe that providing reasonable accommodation is not only a legal obligation but also a fundamental aspect of our commitment to being an employer of choice. We recognize that individuals may have different needs and requirements based on their abilities, and we provide reasonable accommodations to ensure ideal conditions are met during the application process.

At Aggreko, we provide energy solutions so communities can thrive and businesses can grow. We bring power, heat and cooling to customers and communities wherever they need it. We are hiring immediately for a Sales Representative in our Data Centers group for Minneapolis, Wisconsin or Chicago. This role is responsible for driving market penetration, expanding our customer base, and delivering tailored energy, climate control, and commissioning solutions that meet the evolving needs of hyperscale, colocation, and enterprise data centers. Why Aggreko? Here are some of the perks and rewards. $65k to $75k base salary range Uncapped commission plan Company vehicle, cell phone, and computer Low-cost medical plan option available Paid training programs and tuition reimbursement Sales career growth potential in expertise, leadership, and across territories Safety-focused culture What you'll do: Market Penetration & Growth Identify and pursue new business opportunities within the data center sector. Develop and execute strategic plans to penetrate untapped markets and regions. Analyze market trends, customer needs, and competitive landscape to inform go-to-market strategies. Customer Acquisition & Relationship Management Build and maintain strong relationships with key decision-makers, influencers, and stakeholders. Drive customer engagement through consultative selling and value-based conversations. Manage the full sales cycle from lead generation to contract negotiation and closing. Solution Selling Collaborate with engineering and operations teams to design customized power, cooling, and energy storage solutions. Present Aggreko's offerings in a way that aligns with customer pain points, sustainability goals, and operational requirements. Educate customers on Aggreko's capabilities in temporary and permanent infrastructure support. Sales Performance & Reporting Meet or exceed sales targets, KPIs, and revenue goals. Maintain accurate records of sales activities, pipeline development, and customer interactions in CRM systems. Provide regular market feedback and insights to leadership for continuous improvement. You'll have the following skills and experience: Proven experience in B2B sales, preferably in data centers, energy solutions, or industrial services. Strong understanding of data center infrastructure, operations, and challenges. Excellent communication, negotiation, and presentation skills. Ability to work independently and collaboratively in a fast-paced environment. Familiarity with solution selling methodologies and strategic account management. Preferred Skills: Experience with temporary power, HVAC, or energy storage solutions. Technical aptitude in electrical or mechanical systems. Existing network within the data center industry. #LI-BB1 #LI-REMOTE Equal employment opportunity We welcome people from different backgrounds and cultures, and respect people's unique skills, attitudes and experiences. We encourage everyone to be themselves at work because we know that's how we do our best, for each other, for our customers, for the communities where we work, and for our careers. We are an equal opportunity employer. If you apply for a role at Aggreko, we will consider your application based on your qualifications and experience, and not on your race, colour, ethnicity, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Data Engineer - Nike Inc.- Beaverton, OR. Design and implement features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology; contribute to overall architecture, frameworks and patterns for processing and storing large data volumes; design and implement distributed data processing pipelines using tools and languages prevalent in the Hadoop or Cloud ecosystems; build utilities, user defined functions, and frameworks to better enable data flow patterns; build and develop job orchestration and scheduling using Airflow; research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; build and incorporate automated unit tests and participate in integration testing efforts; work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to; and work across teams to resolve operational and performance issues. Telecommuting is available from anywhere in the U.S., except from AK, AL, AR, DE, HI, IA, ID, IN, KS, KY, LA, MT, ND, NE, NH, NM, NV, OH, OK, RI, SD, VT, WV, and WY. Must have a Master's Degree in Computer Science, Engineering, Computer Information Systems, Electronics and Communications, or Technology and 2 years of experience in the job offered or a data engineering related occupation. Experience must include: Programming languages such as Python, Java, and Scala; Big Data Frameworks such as Hadoop, Hive, Spark, and Databricks; ETL Tools such as Informatica and PLSQL; Scripting such as Unix, and PowerShell; Databases, such as Oracle, MYSQL, SQL Server, Teradata, and Snowflake; Cloud Technologies such as AWS, Azure Cloud, EC2, S3, Azure Blob, API Gateway, Aurora, EC2, RDS, Elastic Cache, and Spark Streaming; Analytics Tools, such as Tableau and Azure Analysis Services; Agile Teams; Source Control tools such as Github and related dev process; and Airflow Apply at www.Nike.com/Careers (Job# R-76207) #LI-DNI We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

Bring more to life. At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact - innovating at the speed of life. Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology. Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we're committed to hiring and developing from within. You'll thrive in a culture of belonging where you and your unique viewpoint matter. Learn about the Danaher Business System which makes everything possible. The Senior Director of Artificial Intelligence & Data Infrastructure will help shape the vision and lead the execution of our next-generation data and AI infrastructure - driving innovation across all of Danaher. In this strategic role, you will lead a world-class team to design and deliver a robust, scalable, high-performance platform that will accelerate enterprise-wide AI-driven research and product development. Your leadership will enable cutting-edge solutions that transform how we innovate and create value for customers globally. This role sits within the Chief Technology and AI Office (CTAIO) and reports to the VP, AI Platform and is fully remote within the United States. In this role, you will have the opportunity to: Define and execute the strategic roadmap for Danaher's enterprise-wide Data & AI Platform, aligning with business objectives and growth initiatives Design and deliver an AI platform that accelerates research, new product development, and enhances existing products and processes; enforces best practices for data governance, quality, security, and compliance by design; and drives adoption of advanced AI/ML methodologies and data analytics through a self-service sandbox for data scientists and engineers across the organization Stay ahead of the curve by evaluating and integrating cutting-edge technologies to maintain a state-of-the-art AI platform that gives Danaher a competitive edge Build and mentor a high-performing team of Cloud, ML/AI, and Data architects, engineers, and scientists Foster a culture of technical rigor, continuous learning, collaboration, and innovation within the team and across Danaher's technology community Develop strategic partnerships with key vendors and partners to leverage external expertise and solutions for internal tooling The essential requirements of the job include: An advanced degree in Computer Science, Machine Learning or a related technical field 10+ years of experience in software development with a focus on data engineering, AI/ML and software architecture and design 5+ years in a leadership role focused on data and AI platforms Extensive experience with cloud platforms (AWS, Azure, GCP), integrators (Snowflake, Databricks, etc.) and their data and AI services Strong leadership experience with a proven ability to build consensus, lead, and inspire cross-functional teams in a complex environment Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel domestically and internationally per business needs - up to 20% It would be a plus if you also possess previous experience in: Life sciences, diagnostics, or biotechnology (e.g., partnering with R&D, quality, clinical, manufacturing, or commercial teams) Data and engineering practices in industries governed by regulatory standards (e.g., HIPAA, GxP), compliance frameworks (e.g., SOX), and rigorous data governance requirements Working in a matrixed environment #LI-KW4 Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it's a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info. At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide. The annual salary range for this role is $220,000 - $250,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com. Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com.

Industry/Sector Not Applicable Specialism Deals Management Level Manager Job Description & Summary A career in Technology and Data Solutions practice, within Deals M&A Transaction Services, provides the opportunity to help organizations realize the potential of mergers, acquisitions, divestitures and capital markets. You will have the opportunity to leverage technology and data to drive better Deal decisions and execute transactions more effectively, helping companies originate, create, execute, and realize value from deals. Our team consists of well-rounded creative professionals who have a passion and aptitude for building technology driven solutions and pushing the boundaries of innovation in Deals. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Develop new skills outside of comfort zone. Act to resolve issues which prevent the team working effectively. Coach others, recognise their strengths, and encourage them to take ownership of their personal development. Analyse complex ideas or proposals and build a range of meaningful recommendations. Use multiple sources of information including broader stakeholder views to develop solutions and recommendations. Address sub-standard work or work that does not meet firm's/client's expectations. Use data and insights to inform conclusions and support decision-making. Develop a point of view on key global trends, and how they impact clients. Manage a variety of viewpoints to build consensus and create positive outcomes for all parties. Simplify complex messages, highlighting and summarising key points. Uphold the firm's code of ethics and business conduct. The Opportunity As part of the Deals (M&A) Tech & Data team you work at the intersection of M&A, advanced analytics, and cutting-edge technology. We help clients unlock value in high-stakes transactions by turning raw data into strategic insight, enabling faster, smarter decisions that shape the future of their businesses. You'll work with a diverse set of industries, high-profile clients, and complex datasets, leveraging technology to deliver impact at deal speed. As a Manager, you supervise, develop, and coach teams, maintaining top-quality deliverables and leveraging team strengths to meet client expectations. You thrive in a team setting, communicate effectively with both technologists and business partners, and drive client engagement workstreams. You will have the opportunity to harness the power of data, leverage data engineering, data analysis, Generative AI, advanced machine learning, and predictive analytics to deliver differentiated insights in complex M&A scenarios. You will experiment with and deploy emerging AI tools for structured and unstructured data extraction, scenario modeling, automated reporting, and client storytelling-turning complex deal data into compelling, actionable narratives. You will collaborate closely with leading Private Equity clients, applying advanced analytics and emerging technologies to evaluate investment opportunities, assess risk, and accelerate portfolio company performance. Beyond client delivery, you will also contribute to the growth of the practice by leading pursuits, co-developing innovative offerings in AI-enabled deal analytics, and supporting the creation of thought leadership on trends shaping the M&A and Private Equity landscape. Responsibilities Lead client engagement workstreams, manage multiple projects, and build strong stakeholder relationships Work with deal teams to design and deliver analytics solutions that drive investment decisions, operational improvements, and portfolio value creation Analyze complex problems and communicate actionable insights through data visualization, programming, and advanced analytics Build and automate scalable data pipelines, cleansing, reporting, and workflows using platforms such as Databricks, low-code/no-code tools, and AI-assisted pipelines Apply Generative AI and machine learning models for data synthesis, risk assessment, churn prediction, synergy estimation, and financial forecasting Establish and maintain exceptional standards in deliverables while mentoring junior team members and fostering a collaborative, resilient team culture What You Must Have Bachelor's degree in relevant fields, including engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting 5+ years' experience across data and technology including client-facing consulting work What Sets You Apart Advanced degree (master's preferred) with consulting and deals/M&A experience Track record of managing teams, multiple engagements, and competing priorities Demonstrated ability to influence stakeholders, align diverse viewpoints, and contribute to business development, practice growth, and thought leadership Strong proficiency in SQL, Python, or R, including experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools (spaCy, HuggingFace) Hands-on experience with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Proficiency in data visualization (Power BI, Tableau), SQL/Python queries, and data storytelling-translating analytics into persuasive outputs for senior stakeholders Experience deploying AI/ML solutions in live business environments, ideally in M&A contexts, with strong financial acumen and understanding of key financial statements Skilled at critical thinking, problem-solving, and rapid prototyping with modern analytics and AI tools Strong proficiency in SQL, Python, or R, including experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) and NLP tools (spaCy, HuggingFace) Hands-on experience with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks Familiarity with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integration with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Demonstrated ability to influence stakeholders, align diverse viewpoints, and contribute to business development, practice growth, and thought leadership Certifications in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS) Ability to travel up to 20% 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. The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. 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 Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Your Impact We are seeking an experienced Data & Analytics Senior Engineer to design, build, and deploy complex data models in Anaplan and manage data warehousing projects, as well as build and deploy internal applications to support our technology lifecycle, service delivery, and collaboration tools. You will integrate data from SaaS sources like Salesforce, Adobe Analytics, Workday, and Splunk into Anaplan and Google BigQuery. You will also: Maintain the highest levels of development practices, including creating technical designs, writing clean, self-sustaining code, and managing system configurations. Implement and maintain DataOps practices, including managing data infrastructure as code (IaC) with Terraform and utilizing Git for version control. Work closely with analysts and business process owners to translate business requirements into technical solutions and present analysis results. Conduct Database Performance Tuning, Load Testing, Data Migration, and design efficient ETL/ELT processes. Drive projects to synchronize efforts and achieve business goals. Your Qualifications 8+ years in data orchestration, data warehousing, and ETL/ELT development. Proficient in Python (production-level scripting, understanding existing code, Pandas DataFrames, ReST API Calls). Proficient in SQL Querying; extensive experience with Google BigQuery and the broader GCP platform. Strong knowledge of database concepts. Proven experience developing and troubleshooting ETL/ELT processes. Exposure to ETL tools (e.g., Informatica is a plus) and understanding of ETL/ELT architecture, including Modern Data Architecture (Data Lake). Experience with Git for version control and Terraform for Infrastructure as Code (IaC). Familiarity with CI/CD principles. Strong troubleshooting skills are a must for identifying and resolving complex data issues. Model-building experience in Anaplan is highly valued. Project Management Experience working in an Agile/Scrum environment using tools like JIRA. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.

Who we are looking for State Street's Alpha Transaction Management team is seeking a skilled professional with a robust background in financial services, advanced data analysis capabilities, and deep expertise in business systems to drive the development and support of transaction management offerings. In the Alpha Client Data Integration VP position, the successful candidate will be responsible for leading client onboarding onto State Street's test and production environments, executing a wide range of tasks critical to supporting Alpha Implementation projects. This includes comprehensive management and interpretation of client data according to the defined scope of services and operating models within the Middle Office Transaction Management domain, guaranteeing all data and processes align with the established Operating Model. A key requirement for this role is recognized subject matter expertise in all aspects of Transaction Management processes within the middle office, empowering the incumbent to identify and pursue transformation opportunities throughout the organization. To effectively drive such transformation, the ideal candidate must demonstrate superior proficiency in Middle Office Transaction Management data and trade processing operating models. Candidates must exhibit advanced skills in analyzing complex business and financial services data, with proven experience in gathering functional requirements, thorough documentation, and precise data mapping. Outstanding verbal, written, and presentation abilities are essential, as is a demonstrated capacity to bridge communication between business, implementation, and technology teams. Strong collaboration skills are a must to ensure seamless teamwork and project success. Why this role is important to us Institutional investors around the world count on us to expertly manage risk, tackle challenges, and drive outstanding performance and profitability. By joining this team, you will play a crucial role in the success of the Alpha and Global Delivery client onboarding and implementations organization. This position offers you the opportunity to showcase your strong skills, demonstrate your excellent potential for growth, and make significant contributions to the team's success. You will pursue innovative, scalable solutions, build resilience, and consistently deliver exceptional results each day. Join us and leverage your talents to make a lasting impact in the financial services industry from day one. What you will be responsible for As an Alpha Client Data Integration specialist you will be responsible for: Onboarding clients' middle office services onto State Street platforms and supporting the client and all relevant workstreams throughout the implementation phase. Understanding the firm's operating model, strategic plans, business, middle office operations processes, and architecture in order to influence design and develop solutions. Articulating business requirements for strategic product enhancement, in line with the overall Alpha vision, and work with the broader team to achieve such innovations in support of Transaction Management. Analyzing large, complex data sets, cleansing, and preparing for configuration/migration to middle office trade processing platform. Creating visualizations/dashboards to aid in analysis and presentations of complex data issues. Building strong relationships with project stakeholders in Program Delivery, Operations, Technology, and Business units that focus on Transaction Management onboarding and servicing. Understanding and managing competing priorities across these groups. Understanding Transaction Management standard data modeling, transaction processing, and product knowledge to facilitate the onboarding process. Working directly with Transaction Management implementation leads to detail and understand trade flows for all in scope financial instruments in support of each Alpha client onboarding project. Assist in identifying gaps in transaction processing and data requirements so they are fully tracked through to the delivery, testing and finally, incorporation into the standard operating model. Supporting assigned projects, onboarding project plans, project timelines, issue logs, conversion approach, post-go-live efforts. Ensure processes are automated wherever possible and continue to look for new transformation opportunities to increase automation and reduce operational risk. Ensures all processes are fully documented from both a set up perspective and a financial services market knowledge SME perspective. Works closely with other Middle Office workstreams to align the Transaction Management operating model, understand dependencies, and collaborate for end to end solutions. What we value These skills will help you succeed in this role Strong knowledge of financial instruments and asset classes such as Equities, Fixed Income, Derivatives, and structured products such as TBAs, and Repos. Strong understanding of the Transaction Management Middle Office services and operating models. Subject matter expertise of standard financial services static data as it applies to middle office trade processing. Strong understanding and prior experience with industry utilities such as DTCC CTM, DTCC Alert, FX Connect, other Middle Office vendor applications and messaging protocols such ad XML and SWIFT, is highly desirable and valuable. A proven history of understanding and analyzing complex client use cases, large data sets, and ability to create visual dashboards using tools such as Microsoft PowerBI. Expertise in Power Query for data transformation, cleansing, preparation, and integrations from multiple sources and formats Ability to analyze large data setup using Microsoft Co-Pilot is highly desirable. Ability to interpret client requirements and translate those requirements into State Street specific data configuration tasks. Exceptional communication, problem solving, and analytical skills. Attention to detail and organization - able to independently troubleshoot and gather supporting evidence. Ability to work on multiple projects concurrently and prioritize work accordingly. Education & Preferred Qualifications 5 - 8 years of industry experience with Middle Office trade processing or implementation, analytics and applications BS degree in Business, Finance or similar related topics - Data analysis skills are highly preferred. Strong competency in PowerBI, Power Query, MS Co-Pilot or other similar data analysis tools. MS Office including MS Excel, MS Word and MS Access Knowledge of Electronic trading platforms including Chares River, Bloomberg, Thinkfolio and other Order Management systems. Additional requirements Potential to travel to alternate sites for specific projects may be required, but fairly limited. Salary Range: $110,000 - $181,250 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

University, 2026 Summer Games Data Scientist Intern The Opportunity: The Summer Games is an innovative internship program that attracts some of the nation's best and brightest students. The goal is to develop a breakthrough idea or solution for one of our customer's most pressing, complex, and multidimensional problems while developing valuable technical skills. This competitive and collaborative program attracts thousands of applicants each year. Simulating a real-world startup accelerator environment, the interns are divided into teams, each working on a different challenge project. Throughout the Games, interns receive mentorship from senior leaders, solve problems using Booz Allen's products and unique engagement models, and leverage the power of collaboration in a team environment. The summer culminates with a final Challenge Cup competition and presentation to senior leadership. A past winner took the challenge of helping blind individuals navigate by using new technology and developing a business and market penetration plan. Teams have also helped to develop an app that gives military commanders an easy way to track real-time and open-source information about developing situations, including sudden attacks, fighting human trafficking, and even tracking the spread of a disease worldwide. Join us. The world can't wait. You Have: Experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience with statistical and general-purpose programming languages for data analysis Knowledge of structured and unstructured data sources Ability to obtain a Secret clearance Scheduled to obtain a Bachelor's degree in a Technology, Engineering, or Mathematics field by Winter 2027, Spring 2028, or Summer 2028 Nice If You Have: Ability to produce technical documentation and create design artifacts Possession of excellent critical thinking and analytical skills Possession of excellent verbal and written communication skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About Iru Iru is the AI-powered security & IT platform used by the world's fastest-growing companies to secure their users, apps, and devices. Built for the AI era, Iru unifies identity & access, endpoint security & management, and compliance automation-collapsing the stack and giving IT & security time and control back. Iru is backed by some of the smartest investors in tech-General Catalyst, Tiger Global, Felicis, Greycroft, and First Round Capital. In July 2024, Iru raised $100 million from General Catalyst, valuing the company at $850 million. Customers include Notion, Cursor, Lovable, Replit, and Mercor, and Iru partners with industry leaders such as ServiceNow and AWS. Iru was named to Forbes' America's Best Startup Employers 2025 list for employee engagement and satisfaction. The Opportunity: We're looking for an Engineering Manager to lead this team. This is a player-coach role: you'll manage and grow the team while staying hands-on with technical work yourself. You should expect to spend ~40-60% of your time designing, building, and reviewing pipelines, models, and infrastructure alongside the team. You'll report to the Director of Data and partner directly with stakeholders across the business to ensure our data platform keeps pace with the company's growth. This role is high-leverage. The systems you build and the decisions you make will shape how the entire company-and its AI capabilities-understands its products, customers, and performance. About the Team: The Data Engineering team owns the infrastructure and pipelines that power data-driven decisions across the company. We ingest, transform, and deliver centralized data from every product in our portfolio-making it possible for Data Science, Analytics, Finance, Revenue, and our product engineering teams to move fast and trust what they see. Our work is foundational to the company's AI and machine learning initiatives. The quality, freshness, and structure of the data we deliver directly determines what's possible for the models and systems built on top of it. If you want to create leverage for AI at scale, this is where it starts. Our stack includes Kafka, Airflow, Snowflake, dbt, Python, SQL, AWS. We're at an inflection point: the foundation has been built, and now we need leadership to drive the next chapter-modernizing our architecture, raising the bar on data quality, and scaling how we partner with the rest of the org. How You'll Make a Difference Day to Day: Set technical direction Drive architectural improvements to how we ingest, transform, and serve data-improving latency, reliability, and data freshness across the platform Strengthen our transformation layers with clear ownership, data quality checks, and well-defined contracts between stages Improve our data modeling practices so downstream teams can query confidently Lead and grow the teamManage, mentor, and develop a nimble team of data engineersBuild a culture of ownership, quality, speed, and continuous improvementCreate clarity around priorities, ship cadence, and how the team operates Partner across the orgWork upstream with product engineering to influence how data models are designed in application databases-so they work well with centralized data workflows from day oneServe as the primary technical point of contact for stakeholder requests, ensuring projects are scoped and architected before work beginsBuild strong relationships with teams across the company to understand their needs and deliver data they can trust We'd love to hear from you if you have: 5+ years of experience in data engineering, with at least 2 years in a leadership or management role Strong hands-on experience with modern data tools Deep understanding of data modeling and pipeline architecture patterns Experience designing and operating reliable data pipelines at scale Ability to switch between strategic planning, people leadership, and hands-on technical contribution Clear communication skills-you can translate between technical teams and business stakeholders Ability to think through problems from the ground up Required to work on-site 3x a week in our Miami office (Coral Gables). Nice to haves, but NOT required: Experience with event-driven architectures, CDC, or streaming technologies Background in B2B SaaS, especially with multi-product data complexity Familiarity with data contracts or other patterns for managing upstream schema changes Experience partnering with application teams to influence source system design Benefits & Perks Competitive salary Hybrid work environment (3 days in office per week) 100% individual and dependent medical + dental + vision coverage 401(K) with a 4% company match 20 days PTO Iru Wellness Week the first week in July Equity for full-time employees In-office lunch stipend provided Up to 16 weeks of paid leave for new parents Paid Family and Medical Leave Modern Health mental health benefits for individuals and dependents Fertility benefits Working Advantage employee discounts Onsite fitness center Free parking Exciting opportunities for career growth We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you're someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you. At Iru, we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences. Iru is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law. #LI-Hybrid We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.