Data Scientist jobs at Glaxosmithkline - 17 jobs

Unlock Your Potential with the CSBS Summer Internship Program For more than 110 years, the Conference of State Bank Supervisors (CSBS) has been uniquely positioned as the only national organization dedicated to advancing the nation's dual-banking system, strengthening consumer protection, and promoting safe and sound financial supervision. Every day, we work alongside state regulators to oversee the financial services industry, foster economic growth, and drive innovative, responsive regulation. Our goal? To be the recognized leader in enhancing the quality and effectiveness of state financial oversight. Are you ready to kickstart your career in the vibrant heart of the nation's capital? The CSBS Summer Internship Program offers undergraduate, graduate, and law school students an unparalleled opportunity to gain hands-on experience, expand their professional network, and make a tangible impact in the world of financial policy and regulation. This dynamic 12-week paid internship immerses you at the intersection of policymaking, technology, business, and regulation. You'll work on meaningful, high-impact projects aligned with your background and interests, gaining exposure to industry leaders, policy experts, and fellow emerging professionals. In addition to your individual assignments, you'll collaborate with a cohort of interns on a strategic enterprise-wide project that will leave a lasting impact on CSBS. Commuter benefits are also provided. If you're passionate about government, law, technology, public policy, business, or non-profit work, this internship is your gateway to professional growth and real-world impact. Are you ready to explore, learn, and lead? Join us this summer at CSBS in Washington, DC, and take the next step in your career! Values Instilled Behaviors for Excellence (VIBE) At CSBS, work-life balance isn't just a policy; it's our VIBE! We recognize that our team members have lives that deserve attention and care. That's why we create strong, supportive relationships that help everyone grow both professionally and personally. We honor each other's expertise and speak the truth, even when it's a bit awkward. And guess what? This honesty creates a vibe of respect and trust that powers our efficiency and our excellence. It lets us chase those career goals while also nurturing our personal pursuits. At CSBS, you can thrive at work and at home-it's the best of both worlds! Just like a healthy work-life, collaboration is an essential part of CSBS's mission. In fact, it is the heartbeat of everything we do! We're all about pitching in, giving props to our colleagues, and having each other's backs. This allows us to push ourselves to our maximum potential and embrace those bold risks and innovative solutions. No matter what comes our way, our commitment to communication and teamwork strengthens us. We at CSBS are on mission and on the move, tackling all challenges together! Intern Position Summary The Data Analytics Intern will work with the Data Analytics team. The Data Analytics team is tasked with providing state agencies and CSBS staff with useful data about the financial services companies regulated by state agencies and about the state regulatory agencies themselves. The team distributes analysis in the form of quarterly publications, as well as interactive dashboards that allow users to explore large volumes of data. The Data Analytics intern will gain experience creating web-based data gathering tools and planning for/implementing a modernized data analytics environment. Essential Functions Simplify the data flow process between CSBS and state regulatory agencies. Help with creating and editing profile surveys with multiple question types. Plan for and implement a modernized data analytics environment. Build dashboards and reports. Participate in agile development process. Understand the business of financial supervision. Learn about automation using python and modeling using RStudio. Education and Experience Currently pursuing a degree in Data Science, Information Systems, Business Administration, or a related field. Experience with HTML, at least one modern programming language, and database technology. Knowledge, Skills, and Abilities Technical comprehension. Knowledge of financial regulatory analysis. Requirements Due to the nature of CSBS's business in support of state financial services supervision, all CSBS employees have the potential of interacting with confidential information related to the supervision of financial services companies (“Confidential Supervisory Information”). As a result, in addition to general business conflicts of interest, all CSBS employees are expected to disclose conflicts of interest in financial services companies on at least an annual basis and to proactively avoid such conflicts. Protect the confidentiality, integrity, and availability of CSBS information and information systems in accordance with CSBS policies and procedures. Candidate must be in the DC area and able to work in the CSBS office as needed.

USFS is an ISO 9001 management consulting firm with headquarters in the National Capital Region and offices and staff in 12 US states. USFS staff average 10+ years of professional experience, over 80 percent of our staff have bachelor's degrees, and over half have advanced degrees in business and technology. USFS was founded in 2010 and provides financial management, acquisition management, program management, and data analytic support services to federal and state governments. Position Overview: As a Data Analyst at USFS, you will be a key member of a team supporting federal clients. The role focuses on data analytics, report generation, and providing operational support as directed by the client. You will use your expertise in data analysis, particularly with Tableau and Power BI, to deliver insights and visualizations that support decision-making processes. There are multiple openings ranging from junior to senior data analyst positions. Security Clearance: U.S. Citizenship is required. DoD Secret Clearance required. Key Responsibilities: Data Analytics and Visualization: Provide analytical support, including the development of dashboards and reports using Tableau or Power BI. Strategic Modeling and Metrics: Offer strategic modeling, metrics, and analytical support to various U.S. Government agencies. Cost Modeling Services: Support cost modeling and cost-benefit analysis for various projects. Program Objective Memorandum (POM) Process Support: Assist in the POM process, offering data-driven insights. Business Process Improvement: Analyze and improve business processes using data analytics. Interactive Customer Evaluation (ICE) Support: Provide analytical strategy and support for ICE initiatives. Records Management and Compliance: Manage records data, including FOIA declassification and records scheduling. Training Reports: Generate monthly training reports, including supervisory training for both military and civilian personnel. Why Join Us? At USFS, you will have the opportunity to work on impactful projects with federal governments. We offer a dynamic and inclusive work environment, opportunities for professional growth, and a commitment to innovation and excellence. Requirements Qualifications: Education: Bachelor's degree in a technical discipline is highly preferred. Experience: 3 to 8 years of relevant professional experience in data analytics or a related field. Technical Skills: Proficiency in Tableau and/or Power BI for dashboard creation and data visualization. Proficiency in SQL for data querying and manipulation. Python or other programming languages is a plus. Strong skills in MS Excel for data analysis and modeling. Soft Skills: Excellent communication skills, with the ability to present complex data insights clearly. Strong analytical and problem-solving skills. Ability to work collaboratively within a team and across different departments. Work Schedule, Location, and Travel: Primarily remote combined with limited onsite support. Onsite work is possible within CONUS. Normal office hours are 08:00 to 17:00 Monday through Friday Minimal travel. Details TBD Benefits Employer-provided paid Medical / Dental / Vision insurance. Employer matching 401K plan. PTO 11 Federal Holidays Additionally voluntary benefits to include Short / Long Term Disability, Term Life, and AD&D Insurance.

The Role As a Policy Research & Operations Analyst, you'll be a foundational member of our Policy and Government Affairs team. You'll conduct in-depth research and analysis on legislative proposals to assess their business impact. You'll also contribute to our strategic direction through active involvement in research, monitoring industry and political landscapes, and gathering essential intelligence to inform our team's approach. This involves translating complex information into actionable insights that shape our engagement and policy positioning. Additionally, you will help lead team operations, including budget management, internal reporting, and tracking of goals and success metrics. A key responsibility will be managing oversight of external consultant contracts and their deliverables, including follow-ups as assigned. You'll ensure seamless logistics and prepare materials for the Director of the program and our executives, specifically for DC fly-ins, engagements with elected officials, and other key events. This role reports to the Director, Policy and Government Affairs. What You'll Do Policy Research & Analysis: Conduct comprehensive research and analysis on public policy proposals to assess their potential impact. Synthesize complex information into clear, actionable insights for senior leadership. Information Management & Intelligence: Manage on-demand requests for policy-related information from SoFi executives across the organization. Provide ongoing intelligence on the policy landscape and tracking. Executive Briefing & Support: Develop clear, concise, and impactful briefing materials for senior executives in preparation for engagements with policymakers and other key stakeholders. Cross-Functional Collaboration: Serve as a central point of contact for internal inquiries, collaborating effectively with legal, compliance, and various business units to ensure timely responses and insight. Operations: Take ownership of all Policy and Government Affairs back-office operations, including budget management, consultant onboarding, and oversight of external consultant contracts and their deliverables. Support the timely filings of lobbying disclosures for SoFi and work to identify and implement efficiencies to streamline team workflows. Performance Tracking & Reporting: Lead the tracking of programmatic success metrics and performance objectives for the Policy and Government Affairs program. You'll support the Director in developing key metrics and ensure clear visibility into our impact and progress for the business. What You'll Need 4+ years of progressive experience in a research, analysis, operations, or project management role, ideally within a public policy, government affairs, regulatory affairs, or legal program. Demonstrated expertise in conducting thorough research, analyzing complex information, and synthesizing findings into clear, concise, and actionable insights. Exceptional organizational and project management skills with a proven track record of managing budgets, overseeing contracts and deliverables, and effectively handling multiple concurrent projects. Strong written and verbal communication skills, with a particular emphasis on developing professional, impactful reports, briefing materials, and executive summaries. Adept at managing information flow, responding to on-demand requests, and delivering timely, accurate intelligence to senior stakeholders. High degree of self-motivation, curiosity, proactivity, and attention to detail, with the ability to work independently and anticipate needs in a fast-paced environment. Bachelor's degree in Political Science, Business Administration, or a related field.

Job Description Computer Technologies Consultants (CTC) is seeking a Data Scientist to support the Defense Intelligence Agency (DIA) in Washington, DC. With offices in Washington DC and San Diego, CA, CTC is a leading technology company providing lifecycle IT, data analytics, cloud managed hosting services, agile software development, DevOps, Test Automation, Cyber Security, and infrastructure solutions. Additionally, we provide Professional Talent Acquisition Services as we proudly support the unique needs of U.S. Defense, Intelligence, and Federal Civilian agencies as well as Fortune 1000 companies. Got the Government Contractor Blues? Looking for a company that cares and goes beyond just filling another contract billet? Well look no further! Experience this family-oriented company who takes pride in you and will help you grow where your passions lie. Holding many Defense & Federal government contracts around the globe, with our client you have the opportunity to take on new and evolving challenges, aim beyond what you think you are capable of and work in collaborative, dynamic, and high-tempo environments. Our clients' employees are their most valued asset and they invest in their people because they are in it for the long term. They are committed to your success and well-being and offer competitive benefits packages, salaries, bonus/award programs, and a high potential for professional growth and job opportunities world-wide. Why Should You Be Interested? Direct hire full-time position Competitive base salary and comprehensive benefits Mid-size company with room for growth Position Title: Data Scientist Position Location: This position is full time, on-site in the National Capital Region Daily Responsibilities: Oversee data normalization, building tables, moving data, writing data scripts, installation, configuration, and data integration. Responsibility for discovery, service mapping, configuration management, and event management using MID Servers and best practices. Maintain and update the data dictionary, metadata, and SOPs for data-related tasks, ensuring compliance with DIA security and configuration standards. Collaborate with platform teams to design scalable, efficient data architectures that enable dashboarding, KPI reporting, and Configuration Management Database (CMDB) health monitoring. Participate in data validation, DR/COOP testing, platform upgrades, and ensure data integrity across environments (dev, test, prod). Monitor data pipelines for errors or anomalies and propose continuous improvements. Ensure all activities align with ATO, NIST 800-53, and DoDIIS data handling guidance. Required Years of Experience (min): Five (5) years of experience in ServiceNow or a related field. Required Degree/Certifications: Bachelor's degree in Computer Science, Statistics, Mathematics, a related field, or equivalent related professional experience. ServiceNow Certified Implementation Specialist (CIS) for Discovery or Service Mapping (required). Required Experience & Expertise in the following areas: Hands-on experience with data scripting, ETL, and data integration tools in enterprise environments. Strong understanding of ServiceNow Discovery, Service Mapping, CMDB, and Event Management. Proven experience in data modeling, normalization, and database design. Familiarity with scripting languages such as JavaScript, Python, or PowerShell. Knowledge of IT infrastructure, systems management, and service dependency mapping. Ability to troubleshoot and resolve data-related issues quickly and efficiently. Strong analytical and problem-solving skills, with the ability to communicate technical findings to non-technical audiences. Required Clearance: Must be eligible for a TS/SCI clearance with CI polygraph (active clearance preferred) Pay Information Full-Time Salary Range: $230k-$250k Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Computer Technologies Consultants, Inc. is an Equal Opportunity Employer that provides employment opportunities for all qualified applicants without regard to race, color, religion, gender identity and/or expression, sexual orientation, age, mental or sensory differing abilities, protected veteran status, sex, national origin, or any other characteristic protected by applicable law. Computer Technologies Consultants, Inc. is devoted to diversity, equity, and inclusion.

Do you want to build a career that is truly worthwhile? The World Bank Group is one of the largest sources of funding and knowledge for developing countries; a unique global partnership of five institutions dedicated to ending extreme poverty and promoting shared prosperity. With 189 member countries and more than 120 offices worldwide, we work with public and private sector partners, investing in groundbreaking projects and using data, research, and technology to develop solutions to the most urgent global challenges. For more information, visit ****************** Climate change will greatly affect the poorest people in the world, who are often hardest hit by weather catastrophes, desertification, and rising sea levels and least able to respond. In some parts of the world, climate change has already contributed to worsening food security, reduced the predictable availability of fresh water, and exacerbated the spread of disease and other threats to human health. Helping the most vulnerable countries and communities adapt to increasing challenges of climate change is an imperative for the international community, requiring significant resources to achieve the Sustainable Development Goals. The Adaptation Fund is an innovative financing mechanism set up by the Conference of Parties (COP) to the United Nations Framework Convention on Climate Change (UNFCCC), with the purpose of financing concrete climate change adaptation projects and programs in developing country Parties. At the request of the COP, the GEF is providing secretariat services to the Adaptation Fund Board (the Board) on an interim basis, through a dedicated team. Since becoming fully operational in 2010, the Board has approved over 190 projects and programs worth more than USD 1.2 billion in over 100 countries. Launched under the Kyoto Protocol of the UNFCCC, the Adaptation Fund has been formally serving the Paris Agreement since 2019. The Adaptation Fund is implementing its second medium term strategy (2023-2027) that rests on the three pillars of adaptation action, innovation and learning/knowledge management. The Adaptation Fund supports country-driven projects and programs, innovation, and global learning for effective adaptation. All of the Adaptation Fund's activities are designed to build national and local adaptive capacities while reaching and engaging the most vulnerable groups, and to integrate gender consideration to provide equal opportunity to access and benefit from the Fund's resources. They are also aimed at enhancing synergies with other sources of climate finance, while creating models that can be replicated or scaled up. The Secretariat is recruiting a Programme Analyst to strengthen the Adaptation Fund's capacity for effective portfolio management through data analyses and governance and robust monitoring. The incumbent will be responsible for ensuring the accurate and timely collection, validation, and consolidation of project- and programme-level data from Implementing Entities (IEs), and for maintaining reliable performance tracking systems aligned with the Fund's corporate reporting requirements. In addition, the position will play a key role in analyzing quantitative and qualitative data to generate actionable insights, identify trends, and support evidence-based decision-making across the Fund. The successful candidate will also contribute to the maintenance and enhancement of the Financial Intermediary Fund (FIF) platform, supporting its continued development based on user needs and data demands. By facilitating coordinated data management, supporting post-approval project monitoring, and contributing to results-based reporting, this position will ensure the Fund's portfolio reflects the highest standards of transparency, performance, and impact. This position reports to the Lead for Results, Impact and Knowledge Team. Duties and Accountabilities The successful candidate will be expected to carry out the following duties and responsibilities: Portfolio Data Management * Undertake data analysis of the Fund's projects and programmes portfolio to support efficient portfolio management. * Ensure timely and accurate collection, consolidation, and validation of project- and programme-level data requests from internal and external stakeholders. * Maintain structured data repositories for performance indicators, results frameworks, and outcome tracking aligned with corporate reporting systems. * Conduct routine data quality checks and reconciliation between internal systems (e.g., Financial Intermediary Fund (FIF) platform, PPRs) to ensure consistency and completeness. * Support the development and implementation of data quality assurance mechanisms and protocols. * Liaise with project teams and regional focal points to resolve data discrepancies and clarify reporting requirements. * Support the technical review of project/programme performance reports (PPRs) submitted annually by AF Implementing Entities (IEs) as part of the Fund's reporting requirements, if needed. Data Analysis and Reporting * Visualize complex data sets through dashboards, charts, and data storytelling tools to communicate key findings effectively. * Conduct quantitative and qualitative analysis of project and portfolio-level data to identify trends, gaps, and emerging results. * Support the preparation of analytical reports (such as sectorial briefs), and presentations for internal and external audiences. * Contribute to the development of evidence-based insights for strategic planning, decision-making, and corporate reporting (e.g., Annual Performance Reports). Maintenance and Enhancement of the Data Platforms * Support the development of new data platforms and/or the ongoing maintenance, improvement and user support of the existing platforms to ensure functionality and reliability. * Coordinate with IT and relevant teams to troubleshoot issues, implement updates, and support the development of new features based on user feedback and evolving data needs. * Contribute to system testing, validation, and documentation of upgrades or modifications to the different platform. * Assist in mapping user requirements and translating them into functional specifications for platform improvements. Others * Work closely with regional focal points, project teams, and other Secretariat units to ensure integrated and coordinated data processes. * Support portfolio data requests coming from external partners and Secretariat units, as required. * Represent the Fund in various fora, including but not limited to, meetings convened under the UNFCCC and its subsidiary bodies, meetings of other climate funds, regional and sub-regional workshops, technical conferences and workshops, and bilateral meetings with governments, implementing agencies and other stakeholders. * Provide support in other strategic and operational areas of the Secretariats work as it related to results and knowledge. Selection Criteria * Advanced university degree (Master's or equivalent) in international development, public policy, economics, data science, environmental policy and economics, social development, or other field relevant to adaptation to climate change. * Minimum of 3 years of progressively responsible experience in data management, programme analysis, results monitoring, or related areas in international development, with preference in climate change. * Managed large datasets, including cleaning, validating, and structuring data for analysis using tools such as Excel, Power BI, or SQL. * Experience in development of dashboards, charts, and data storytelling tools for complex data set visualization. * Proven experience with managing data platforms, performance frameworks, and/or knowledge management systems is highly desirable. * Familiarity in results-based management (RBM), or performance reporting, can be an asset. Technical Competencies * Demonstrated ability to collect, clean, analyze, and visualize data using Excel, or similar tools. * Solid understanding of indicator-based monitoring systems, logframe/results frameworks, and development effectiveness concepts. * Proven experience in working with databases, data entry systems, or online project management platforms. * Ability to synthesize quantitative and qualitative data to support reporting, learning, and decision-making. IT and Analytical Skills * Proficiency in MS Excel and other Microsoft Office tools; knowledge of data visualization or statistical tools (e.g., Power BI, Tableau, Stata, R, or Python) is desirable. * Strong analytical skills and attention to detail in managing and interpreting complex datasets. * Capacity to translate technical data into user-friendly formats for non-technical audiences. Communication and Interpersonal Skills * Strong written and verbal communication skills, including the ability to produce clear and concise reports, guidance notes, and presentations. * Proven ability to work collaboratively in cross-functional and multicultural teams. * Experience in supporting training sessions or providing technical assistance to stakeholders is an asset. Organizational and Project Management Skills * Strong time management and organizational abilities, with demonstrated capacity to manage multiple tasks and meet deadlines under pressure. * Ability to work independently, take initiative, and proactively identify and resolve issues. Language Requirements * Fluency in English is required. * Working knowledge of French, Spanish is an asset. WBG Culture Attributes: 1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders. 2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact. 3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results. World Bank Group Core Competencies

Basic information Job Name: Full Stack Engineer, Data Science Line of Business: Data Science Job Function: Investor Services Join our team to lead engineering projects for a next-generation generative AI application that supports private equity investment teams, including financial analysts and deal professionals. In this role, you'll develop full-stack product features from the ground up, including UI components, backend APIs, AI workflow integrations, and data optimization for financial decision-making. You'll work alongside product, data, and AI teams to bring advanced intelligence to the tools used by investment professionals-making research, analysis, and deal execution faster and more data-driven. This role is open to applicants in New York and Washington, DC. Responsibilities * Design, build and deploy full-stack features using Angular, Python, REST * Develop robust and scalable backend APIs and services to support AI-powered workflows * Integrate generative AI models (e.g., LLMs, embeddings) into user-facing tools * Collaborate closely with product and data teams to translate financial workflows into intuitive, high-performance software * Implement efficient data storage and retrieval mechanisms for deal and market data * Write high-quality, maintainable, and well-tested code * Contribute to architectural decisions and drive continuous improvement across the stack Qualifications Education & Certificates * Bachelors Degree, required * Concentration in a STEM field, preferred Professional Experience * 8+ years of overall relevant technical experience, required * Hands-on experience in full stack software development, required * Strong proficiency with Angular, Python, and REST * Experience building backend systems and working with APIs * Familiarity with AI/ML integration and generative AI models * Comfortable working with both structured and unstructured data * Strong product intuition, with the ability to understand the needs of financial professionals * Experience working on high-impact problems at the intersection of AI, data, and finance - Experience in fintech, private equity, or investment-related domains is a plus Benefits/Compensation The compensation range for this role is specific to Washington, DC and New York, NY and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications. The anticipated base salary range for this role is $200,000 to $220,000. In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance. Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle. Company Information The Carlyle Group (NASDAQ: CG) is a global investment firm with $474 billion of assets under management and more than half of the AUM managed by women, across 660 investment vehicles as of September 30, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,400 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & media and transportation. At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy a competitive advantage and create a stronger foundation for long-term success.

Job Description . Job Title: Data Analyst Duration: Full-Time NEED IRS MBI Clearance. • Experience & Leadership: 3-5+ years in data engineering or backend data systems, with experience leading data pipeline projects and mentoring junior engineers. • Data Pipeline Expertise: Proficient in building and optimizing ETL/ELT pipelines using tools like Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink. • Tech Stack & Tools: Strong skills in SQL, Python or Scala, and working with data warehouses (Snowflake, BigQuery, Redshift) and data lakes (e.g., Delta Lake, Lakehouse architecture). • Infrastructure & Ops: Familiar with cloud platforms (AWS, GCP, Azure), containerization (Docker/Kubernetes), and orchestration, with experience in CI/CD and data versioning (e.g., DVC). • Bonus/Preferred: Experience with real-time data processing, cataloging, data governance, privacy/compliance (GDPR, HIPAA), and cross-functional collaboration with analytics, ML, or BI teams.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to: Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience. Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models' performance for fraud related business context. Improving the modeling process through MLOps and automation to drive efficiency and effectiveness. Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production. Managing model risks in line with Visa Model Risk Management requirements. Conducting modeling analysis to address internal and external clients' questions and requests. Position reports to the Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation. Position requires the following: Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost). Scripting in Python, Unix or Linux. Using SQL for extracting and aggregating data. Experience with Hadoop or related big data query engine such as PySpark or Scala Spark. Experience with Model Risk Management. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. Bank Tech is seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. We're not just supporting a bank; we're redefining the tech foundation for a financial giant. As Bank Tech, we are leading the charge to become the first bank to build an internal, integrated, and fully modernized core banking platform. If you're passionate about modular, resilient, cloud-native, and secure engineering, you'll find your challenge here. We're building common capabilities and cutting-edge, real-time technology solutions that power critical lines of business including our Retail Bank, Small Business Bank, Commercial Bank, and Capital One Shopping. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Data Engineer Wilmington, DE: $179,400 - $204,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Mount Laurel, New Jersey, United States of America **Hours:** 40 **Pay Details:** $91,000 - $136,240 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. **Line of Business:** Data & Analytics **Job Description:** The Consumer Data Assurance Analyst (US) provides business technical leadership across a broad range of information management functions to support the various areas of data and analytics. Works independently as a senior lead and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects. **Depth & Scope:** + Highly seasoned professional role requiring substantial knowledge / expertise in a complex field and knowledge of broader related areas + Requires master level conceptual expertise and knowledge for own area of specialty / domain and knowledge of broader related areas + Primary subject matter expert in multiple areas and consults with clients/or project teams with respect to all aspects of business information management processes and procedures + Expert level analytical and problem solving skills and fluent in multiple programming language + Works autonomously as a senior/lead on a diverse range of tasks and is relied upon to coach/ educate others + Manages and directs activities related to analysis, design and support of business information management solutions + In-depth expertise or experience with big data solutions and familiarity with big data technologies + Keeps abreast of rapid business and technology innovation within business information management field + Familiar with visualization tools + Analyzes, designs, develops data repositories, warehouses and marts, data movement, data wrangling, data mapping and transformation (ETL) processes + Supports solutions, applications, platforms, and/or tools that are leveraged across all functional groups (e.g., Data Scientists, Business Insights & Analytics, etc.) + May also be responsible for developing sophisticated data preparation frameworks and architecture to create or modify data features for consumption by Data Scientists + Supports data modeling capabilities in order to structure business data to be consumed / translated into a variety of novel capacities + Supports business teams in the use and understanding of the data and reporting solutions + Develops data road map/information management strategies and corresponding technical solutions on integrating, transforming, and/or managing data + Drives data-centric solution development focusing on complex data integration + Adopts the Enterprise Data model in alignment with direction from the OCDO and other data & analytics functional groups + Solicits, analyzes, and understands data requirements (i.e., using market research, requirements gathering, feature planning, user experience / design considerations, etc.) to enable development of information management solutions **Education & Experience:** + Undergraduate degree or Technical Certificate + 7+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background + Advanced knowledge of various data sources, tools and technologies used in preparing summaries and reports + Analytical and problem solving skills are required to interpret data and draw conclusions + Knowledge of current and emerging competitor and market trends + Skill in using analytical software tools, data analysis methods and reporting techniques + Skill in mentoring/coaching others + Skill in using computer applications including MS Office + Ability to communicate effectively in both oral and written form + Ability to work collaboratively and build relationships + Ability to work successfully as a member of a team and independently + Ability to exercise sound judgement in making decisions + Ability to analyze, organize and prioritize work while meeting multiple deadlines + Ability to handle confidential information with discretion + Ability to contribute to strategic direction of the function and provide advice to senior leadership **Customer Accountabilities:** + Analyzes and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models) and business rules, data life-cycle management, governance, lineage, metadata and reporting elements. + Applies automation and innovation on data platforms and on-going on any new development projects / initiatives aligned to business or organizational strategies + Designs and implements complex business data information management frameworks to provide a solution that meets business requirements + Collaborates with technology and business partners to resolve issues and ensure requirements and established SLAs + Works closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design / development initiatives are in line with the planned design and standards **Shareholder Accountabilities:** + Works with other various partners/ stakeholders to ensure project success + Develops business requirements by researching / analyzing and documenting business data requirements + Provides expert guidance within projects and other various change initiatives to support data impact assessments and data risk mitigation + Implements processes aligned to data information management standards and ensure data quality (e.g., rules / thresholds / assessments, etc.) and requirements are developed + Develops and maintains knowledge of data available from upstream sources and data within various platforms + Identifies critical data / critical data elements to support Business Segment data governance and/or data management frameworks / programs + May be responsible to understand and utilize business information management data deliverables + Ensures business data and information is retained and disposed in compliance with enterprise data standards, policies and guidelines + Performs data profiling using TD tooling and ad hoc system query languages to validate data analysis + Provides support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data + Leads the investigation of root causes for data issues and ensure data issues are resolved + Identifies and/or defines knowledge transfer and data expertise activities to support business teams using the information management solutions. + Adheres to enterprise frameworks or methodologies that relate to data activities for business area + Ensures business operations follow applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets) + Participates in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations + Conducts meaningful analysis at the functional or enterprise level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices + Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts + Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite **Employee/Team Accountabilities:** + Participates fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest + Provides industry knowledge for own area of expertise and participate in knowledge transfer within the team, and business unit, and/or cross-functional groups or committees (e.g., Data Councils) + Keeps current on emerging trends/ developments and grow knowledge of the business, related tools and techniques + Participates in personal performance management and development activities, including cross training within own team + Keeps others informed and up-to-date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities + Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices. + Leads, motivates and develops relationships with internal and external business partners / stakeholders to develop productive working relationships. + Contributes to a fair, positive and equitable environment that supports a diverse workforce + Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally **Physical Requirements:** Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% + Domestic Travel - Occasional + International Travel - Never + Performing sedentary work - Continuous + Performing multiple tasks - Continuous + Operating standard office equipment - Continuous + Responding quickly to sounds - Occasional + Sitting - Continuous + Standing - Occasional + Walking - Occasional + Moving safely in confined spaces - Occasional + Lifting/Carrying (under 25 lbs.) - Occasional + Lifting/Carrying (over 25 lbs.) - Never + Squatting - Occasional + Bending - Occasional + Kneeling - Never + Crawling - Never + Climbing - Never + Reaching overhead - Never + Reaching forward - Occasional + Pushing - Never + Pulling - Never + Twisting - Never + Concentrating for long periods of time - Continuous + Applying common sense to deal with problems involving standardized situations - Continuous + Reading, writing and comprehending instructions - Continuous + Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. **\#LI-AMCBOther** **Who We Are:** TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. **Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more (*************************************** **Additional Information:** We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development** If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. **Training & Onboarding** We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. **Interview Process** We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. **Accommodation** TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law. If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at *************** . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. Federal law prohibits job discrimination based on race, color, sex, sexual orientation, gender identity, national origin, religion, age, equal pay, disability and genetic information.

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

Job Title: Data Engineer Location: Remote. Duration: Full -Time. NEED IRS MBI Clearance with IRS GFE We are seeking an experienced Data Engineer to design, build, and maintain scalable data processing pipelines using modern big data technologies. The ideal candidate will have strong development skills and experience with distributed computing frameworks. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related technical field 5+ years of software development experience Strong proficiency in Python, Java or Scala programming languages Extensive hands -on experience with Apache Spark, including: - Spark SQL - Spark Streaming and its data sources KAFKA, CDC feed, etc - Performance optimization and tuning - Data transformation and processing Hands on Experience working with cloud -based Spark platforms (Databricks, AWS EMR, AWS Glue) Strong understanding of Hive, Unity catalog, Glue catalog Hands on Experience working with any data quality framework/tools Hands on Experience working with Observability and monitoring for data processing pipelines Strong understanding of distributed computing concepts Proficiency in version control systems (Github/GitLab/Bitbucket) Technical Requirements: Experience building and maintaining high -volume data processing pipelines Knowledge of data modeling and ETL / ELT best practices Familiarity with SQL and NoSQL databases Understanding of data warehouse concepts and dimensional modeling Preferred Qualifications: Experience with real -time data processing and streaming architectures Knowledge of Delta Lake or similar data lakehouse technologies Experience with CI/CD pipelines Cloud platform expertise (AWS/Azure/GCP) Contributions to open -source projects Key Responsibilities: Design and implement scalable data pipelines Optimize existing data workflows for performance and reliability Collaborate with data scientists and analysts to support their data needs Implement data quality checks and monitoring Maintain documentation for data processes and architectures Soft Skills: Strong problem -solving abilities Excellent communication skills Team collaboration Ability to work independently Strong attention to detail The ideal candidate should have a proven track record of developing and maintaining production -grade data pipelines and be passionate about working with large -scale data systems.

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to: * Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience. * Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models' performance for fraud related business context. * Improving the modeling process through MLOps and automation to drive efficiency and effectiveness. * Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production. * Managing model risks in line with Visa Model Risk Management requirements. * Conducting modeling analysis to address internal and external clients' questions and requests. * Position reports to the Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: * Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation. * Position requires the following: * Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost). * Scripting in Python, Unix or Linux. * Using SQL for extracting and aggregating data. * Experience with Hadoop or related big data query engine such as PySpark or Scala Spark. * Experience with Model Risk Management. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements: This position does not require travel. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Basic information Job Name: Data Engineer Line of Business: Data Science Job Function: Investor Services We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The role demands expertise in Python, deep familiarity with financial data sources, and the ability to deploy complex data pipelines efficiently. This position requires a proactive approach to analyzing, aggregating, and enriching financial data from both private and public companies. Responsibilities * Build, scale, and maintain robust data solutions to support the firm's objectives. * Implement and optimize high-performance data pipelines -- extraction, loading, transformation, and orchestration - that are designed for scalability, reliability, maintainability, and speed. * Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies. * Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments * Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production. * Implement rigorous testing and monitoring practices to maintain superior data quality and integrity. * Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team. * Be willing to travel up to 20% of the time to collaborate with distributed team members across locations. Qualifications Education & Certificates * A bachelor's degree, required * Concentration in Computer Science, Math, Physics, STEM or other engineering related field, preferred Professional Experience * At least 6 years of experience in data engineering or a related discipline, with a proven track record of success, required * Experience in the financial services or private equity industry, preferred Competencies & Attributes * Expertise in Python and SQL, with a strong foundation in data manipulation and analysis. * Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks. * Experience with workflow orchestration tools e.g. Airflow, Temporal * Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases. * Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses. * Demonstrated experience in designing and implementing complex data systems from the ground up. * Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval. * Previous experience in a product development or financial services environment is highly desirable. * Excellent communication skills required, both verbal and written Benefits/Compensation The compensation range for this role is specific to Washington, DC, and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications. The anticipated base salary range for this role is $180,000 to $200,000. In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance. Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle. Company Information The Carlyle Group (NASDAQ: CG) is a global investment firm with $474 billion of assets under management and more than half of the AUM managed by women, across 660 investment vehicles as of September 30, 2025. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,400 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia. Carlyle places an emphasis on development, retention and inclusion as supported by our internal processes and seven Employee Resource Groups (ERGs). Carlyle's purpose is to invest wisely and create value on behalf of its investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has expertise in various industries, including: aerospace, defense & government services, consumer & retail, energy, financial services, healthcare, industrial, real estate, technology & business services, telecommunications & media and transportation. At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." We strive to foster an environment where ideas are openly shared and valued. By bringing together teams with varied expertise and approaches, we enjoy a competitive advantage and create a stronger foundation for long-term success.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: + Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. + Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. **Role Description** **In this role, you will:** + Lead the design, development, and maintenance of personalization and recommendation models. + Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences + Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. + Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. + Champion data-driven decision making across the team. **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 years of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) + Strong proficiency in Python and SQL for large scale data analysis + At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling + At least 1 year of experience designing, training, and deploying large-scale models in production + At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) + At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions + Familiarity with sophisticated ML approaches to personalization models or recommendation systems + Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. About the Team: Capital One is seeking a Distinguished Data Engineer, to work in our Credit Card Technology Data Engineering Team and build the future of financial services. We are a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily. You'll own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). If you thrive on technical challenges, demand data integrity, and want your work to have a clear, measurable impact on the bank's core profitability and security, this is your team. This leader must have the ability to attract and recruit the industry's best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology. Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Our Distinguished Engineers Are: Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices Visionaries, collaborating on Capital One's toughest issues, to deliver on business needs that directly impact the lives of our customers and associates Role models and mentors, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities Responsibilities: Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in Strike the right balance between lending expertise and providing an inclusive environment where others' ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One's Tech talent Basic Qualifications: Bachelor's Degree At least 7 years of experience in data engineering At least 3 years of experience in data architecture At least 2 years of experience building applications in AWS Preferred Qualifications: Masters' Degree 9+ years of experience in data engineering 3+ years of data modeling experience 2+ years of experience with ontology standards for defining a domain 2+ years of experience using Python, SQL or Scala 1+ year of experience deploying machine learning models 3+ years of experience implementing big data processing solutions on AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $244,700 - $279,200 for Distinguished Data Engineer McLean, VA: $269,100 - $307,200 for Distinguished Data Engineer New York, NY: $293,600 - $335,100 for Distinguished Data Engineer Richmond, VA: $244,700 - $279,200 for Distinguished Data Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).