Capital One
Banking · Banking
- HQ
- McLean, US
- Founded
- 1994
- Website
- capitalone.com
Banking · Banking
Capital One currently has 293 active AI-related job listings. The majority of these roles are focused on serving infrastructure, accounting for 28% of the total, followed closely by agents at 26% and post-training at 23%. Engineering is the dominant function, with 234 roles, and hiring is primarily concentrated in the United States. Frequent tech tags include model_serving, vector_db, and llm_observability, suggesting a focus on the operational aspects of AI deployment. In the last 30 days, Capital One posted 124 new AI roles, representing a 22% increase compared to the previous 30-day period.
Currently tracking 241 active AI roles, down 26% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $123k–$392k (avg $231k).
Capital One currently has 305 active AI-related roles in our index. The most common open titles are: Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (9), Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) (8), Applied Researcher I (6), Distinguished Engineer (6), Applied Researcher II (5). Most positions are in Engineering and Research.
Capital One's active AI hiring is concentrated in: serving infrastructure (28%), agents (27%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Capital One is hiring AI talent in: United States (299 roles), United Kingdom (3 roles), Canada (2 roles), Philippines (1 role).
Job postings at Capital One most frequently reference: model serving, vector db, fine tuning, llm observability, inference infra.
In the past 30 days, Capital One has posted 96 new AI-related roles. That is a -26% change versus the prior 30 days (130 → 96).
| Title | Stage | AI score |
|---|---|---|
| Manager, Data Scientist - US Card (Resiliency Intelligence) Capital One is seeking a Manager, Data Scientist for their US Card Resiliency Intelligence team. This role focuses on building machine learning models using supervised and reinforcement learning to predict customer needs and recommend personalized solutions for financial stability. The team uses Python, XGBoost, scikit-learn, and statsmodels, deploying models that impact millions of customers daily in both analytical and production environments. The ideal candidate is creative, technical, statistically-minded, and proficient with large datasets and open-source tools. | Post-train | 7 |
| Principal Associate, Data Scientist - Retail Bank Valuations Data Science This role focuses on building and implementing next-generation customer valuation models for the Retail Bank to improve marketing efficiency and drive account growth. It involves data and model pipelining, machine learning, and model operations using Python and ML libraries. |
| Post-train |
| 7 |
| Principal Associate, Data Scientist - Retail Bank Data Scientist role focused on building machine learning models for retail banking operations, including time series forecasting and optimization, with an emphasis on interpretable outputs. The role involves the full ML lifecycle from design to implementation and works with large volumes of data. | Post-train | 7 |
| Senior Manager, Data Scientist - Travel Intelligence Senior Manager, Data Scientist for Capital One's Travel Intelligence team, focusing on the Hotels domain. The role involves owning the end-to-end technical strategy for Search & Sort and Pricing Optimization, moving from offline models to real-time ML solutions. Responsibilities include partnering with cross-functional teams, leveraging technologies like Python and AWS, and building ML models through all development phases. | Post-train | 7 |
| Lead Data Scientist (Model Developer) / Deep Learning Practitioner Lead Data Scientist role focused on developing and deploying deep learning models for underwriting capabilities in a fintech company. The role involves advancing existing models, building neural networks, transforming multi-modal inputs, and driving projects from prototype to production. Requires experience in sequential data, model development leadership, and modern ML frameworks. | Post-trainServe | 7 |
| Data Scientist / Statistician (Model Developer) Develop and maintain machine learning models for underwriting in the financial services market, focusing on feature engineering, insight generation, and handling various data types including sequential and multi-modal data. Requires strong statistics, ML, Python, and Model Risk Management experience. | Post-train | 7 |
| Senior Manager, Data Science - Credit Review This role focuses on building and challenging existing statistical and machine learning models within the credit review domain at Capital One. The Senior Manager will lead a team, leverage technologies like Python, AWS, and Spark, and partner with cross-functional teams to deliver data-driven solutions that impact risk management and enterprise outcomes. The role requires strong technical and statistical skills, with experience in model building, validation, and various ML techniques. | Post-train | 7 |
| Manager, Data Scientist - Bureau Data Strategy Capital One is seeking a Manager, Data Scientist for their Bureau Data Strategy team. This role involves partnering with cross-functional teams to deliver products, leveraging technologies like Python, AWS, and Spark to analyze large datasets, and building machine learning models through all phases of development. The ideal candidate is customer-focused, a leader, technically proficient with open-source tools and cloud platforms, and skilled in data analysis. | Post-train | 7 |
| Principal Associate, Data Scientist, SBB Fraud Data Scientist role focused on building and deploying machine learning models for fraud detection in the Small Business Bank (SBB) at Capital One. The role involves working with large datasets, applying various ML techniques, and collaborating with cross-functional teams to protect customers and the company from financial fraud. | Post-train | 7 |
| Manager, Data Scientist - Credit Review Capital One is seeking a Manager, Data Scientist for their Credit Review Models, Data and Innovative solutions team. The role involves building statistical and machine learning models to challenge existing production models, leveraging technologies like Python, AWS, and Spark. The candidate will partner with cross-functional teams to deliver innovative solutions in risk management and enterprise decision-making. The role requires a strong statistical background, experience with machine learning, and proficiency in open-source tools and cloud platforms. | Post-train | 7 |
| Senior Associate, Data Scientist - Corporate Strategy This role focuses on building machine learning models for corporate strategy within a financial services company. It involves leveraging data science skills to analyze consumer behavior, market conditions, and peer performance, and translating complex work into tangible business goals. The role requires experience across the full ML development lifecycle, from design through implementation, using technologies like Python, AWS, and Spark. | Post-train | 7 |
| Senior Associate, Data Scientist - Audit Data Science This role focuses on building and implementing ML and NLP models, including LLM-based chatbots and GenAI applications, within the fintech domain for audit and risk management. The position involves the full ML lifecycle from design to productionization and monitoring, leveraging various technologies like Python, Hugging Face, LangChain, and AWS. | Post-trainServe | 7 |
| Principal Associate, Data Scientist - Model Risk Office This role is within Capital One's Model Risk Office, specifically supporting the Card Fraud Model Risk team. The primary responsibility is to evaluate model risk associated with fraud models across the customer lifecycle by performing rigorous assessments and building independent challenger models. The role involves building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation, and leveraging technologies like Python, AWS, and Spark. | Post-trainServe | 7 |
| Principal Associate, Data Scientist - US Card Marketing Intelligence Capital One is seeking a Principal Associate, Data Scientist for their US Card Marketing Intelligence team. This role involves building machine learning models for marketing optimization, leveraging a broad technology stack including Python, AWS, H2O, and Spark. The ideal candidate will have a strong statistical background, experience with various ML techniques, and the ability to translate complex work into business goals. | Post-train | 7 |
| Manager, Data Science - Consumer Identity Machine Learning Manager of Data Science for Consumer Identity Machine Learning team within Capital One's AI foundation organization. The role focuses on delivering real-time, personalized customer experiences by building and operationalizing machine learning models that use vast amounts of customer data to anticipate needs, fight fraud, and improve digital experiences. The role involves working across the data science lifecycle, from design and training to evaluation and production deployment, partnering with product and engineering teams to serve over 50 million customers. | Post-trainServe | 7 |
| Manager, Data Science - Emerging ML Capital One's Emerging ML team is seeking a Manager, Data Science to conduct research and development in AI, focusing on embeddings and foundation models. The role involves building machine learning models from design through production, partnering with product and engineering teams, and analyzing large-scale customer data using tools like Spark and AWS. The ideal candidate is curious, technical, statistically-minded, and customer-oriented, with hands-on experience in data science lifecycle and open-source tools. | Post-trainServe | 7 |
| Principal Associate, Data Science - US Card Fraud Authentication Team Data Scientist role focused on building and implementing machine learning models for fraud detection and authentication within the US Card Fraud Authentication team. The role involves analyzing complex datasets, optimizing authentication decisioning, and staying ahead of evolving fraud patterns using a modern tech stack including Python, AWS, Spark, H2O, and SQL. | Post-trainData | 7 |
| Principal Associate, Data Scientist - US Card DFS Acquisitions This role focuses on building and deploying machine learning models for credit card customer acquisitions within the fintech domain. The data scientist will own the full model lifecycle, from design and training to evaluation, validation, implementation, monitoring, and governance. The role involves leveraging Python, AWS, Spark, and H2O to analyze large datasets and develop models for underwriting decisions. | Post-train | 7 |
| Manager, Data Science - LLM Customization Team Capital One is seeking a Manager, Data Science to lead the LLM Customization team, focusing on bringing LLMs and GenAI to life within the company. The role involves partnering with cross-functional teams to deliver AI-powered products, leveraging technologies like Pytorch, Hugging Face, and LangChain, and specializing in NLP for LLM adaptation and fine-tuning. Responsibilities include building NLP models through development, training, evaluation, and validation, and operationalizing them in production systems. The ideal candidate is innovative, creative, technical, and influential, with experience in training language models, large computer vision models, and delivering models at scale. | Post-trainServe | 7 |
| Manager, Data Scientist - Financial Services Capital One is seeking a Manager, Data Scientist for their Auto Finance business. This role involves building machine learning models for applications like customer lifetime valuation, product recommendation, fraud detection, and productivity improvement via Generative AI. The candidate will work with a cross-functional team, leverage technologies like Python, AWS, and Spark, and translate complex work into business goals. Requires a strong quantitative background, experience with data analysis, machine learning, and relational databases, with a preference for a PhD and AWS experience. | Post-train | 7 |
| Senior Manager Data Scientist Senior Manager Data Scientist role focused on building and leading a team to develop next-generation machine learning models for credit decisioning, customer valuation, and underwriting within Capital One's US Card Intelligence Segments organization. The role involves leveraging Python, AWS, Spark, and other technologies to build models through all phases of development, from design to implementation, and translating complex work into business goals. | Post-train | 7 |
| Principal Data Scientist Capital One is seeking a Principal Data Scientist to build and implement machine learning models for real-time credit underwriting decisions within their Business Card & Payments team. The role involves leveraging Python, AWS, and Spark to develop models from design through implementation, working with large datasets, and translating complex work into business goals. Experience with classification, sentiment analysis, time series, and deep learning is expected. | Post-trainServe | 7 |
| Senior Associate, Data Scientist Data Scientist role focused on modernizing loss forecasting and data transformation within Capital One's credit risk management team. The role involves building statistical/machine learning models to challenge existing production models, contributing to model governance, and presenting model risks to executives. Requires experience with Python, AWS, Spark, and machine learning, with a strong statistical background and ability to handle large datasets. | Post-train | 7 |
| Senior Manager, Data Scientist - Credit Review This role involves building and challenging statistical and machine learning models in a fintech environment, focusing on credit review and risk management. The candidate will leverage technologies like Python, AWS, and Spark, and collaborate with cross-functional teams to deliver data-driven solutions. The role requires a strong statistical background, experience with machine learning, and a proactive approach to evaluating and improving existing models. | Post-train | 7 |
| Principal Data Scientist Principal Data Scientist role focused on building and managing machine learning models for customer management within a fintech company. The role involves the full lifecycle of model development, from design and training to evaluation, validation, and implementation, leveraging technologies like Python, AWS, and Spark. | Post-train | 7 |
| Senior Associate, Data Scientist - Financial Services Data Scientist role at Capital One's Auto Finance business, focusing on building machine learning models for applications like customer lifetime valuation, product recommendation, fraud detection, and marketing optimization. The role involves leveraging technologies like Python, AWS, and Spark, and working through all phases of model development from design to implementation. | Post-train | 7 |
| Principal Associate, Data Scientist - Mainstreet Acquisitions The role focuses on building and implementing machine learning models for credit decisioning within the Mainstreet Acquisitions team at Capital One. It involves working with large datasets, leveraging various technologies, and collaborating with cross-functional teams to deliver solutions for critical business decisions like application approval and customer valuation. | Post-train | 7 |
| Manager, Data Scientist - Credit Line Increase Program Capital One is seeking a Manager, Data Scientist to lead the development and deployment of machine learning models for their Credit Line Increase Program. This role involves partnering with cross-functional teams, leveraging technologies like Python and AWS, and managing the full model lifecycle from design to implementation and monitoring. The ideal candidate has a strong statistical background, experience with various ML techniques, and a customer-centric approach. | Post-train | 7 |
| Principal Data Scientist Capital One's DataLabs AML team is modernizing money laundering detection using advanced analytics, statistics, and machine learning models. This Principal Data Scientist role involves end-to-end development, deployment, and monitoring of risk management models, partnering cross-functionally, and defending these systems to regulators. The role requires strong ML/statistical skills, experience with Python/R, and SQL, with a focus on building and validating predictive models in the financial services domain. | Post-train | 7 |
| Principal Associate, Data Scientist - AI for Data Data Scientist role focused on developing AI-enabled features across the data lifecycle within a fintech company. Responsibilities include building ML models through all phases, leveraging technologies like Python, AWS, and Spark, and collaborating with cross-functional teams. Requires experience with various ML techniques, deep learning frameworks, and NLP/IR/Search/Recommendations/Fine-tuning on LLMs. | Post-trainServe | 7 |
| Senior Manager, Data Science - Cash Flow Underwriting Senior Manager, Data Science for Cash Flow Underwriting at Capital One. This role focuses on leveraging advanced machine learning techniques to build and implement predictive models for risk and usage, transforming raw banking data into valuable features for forecasting creditworthiness and customer behavior. The role involves leading a team, strategic planning, and end-to-end model development. | Post-train | 7 |
| Principal Associate, Data Scientist - Cash Flow Underwriting Data Scientist role focused on building machine learning models for cash flow underwriting in the fintech domain. The role involves transforming raw banking data into predictive features to forecast creditworthiness and customer behavior, covering all phases of model development from design to implementation. | Post-train | 7 |
| Director, Data Scientist - US Card (Mainstreet Acquisitions) Capital One is seeking a Director, Data Scientist to lead efforts in transforming how next-generation models are built and trained for the US Card business. This role involves leveraging machine learning and AI techniques to innovate credit forecasting, working with a cross-functional team, and managing the full lifecycle of model development from design through implementation. The position requires a strong quantitative background, experience in data analytics, machine learning, and relational databases, with a focus on innovation and leadership. | Post-train | 7 |
| Principal Associate, Data Scientist - Mainstreet Acquisitions Capital One is seeking a Principal Associate, Data Scientist for their Mainstreet Acquisitions team. This role involves developing and deploying valuation models for credit underwriting, leveraging alternative data sources and advanced modeling techniques. The position requires building machine learning models through all phases of development, from design through training, evaluation, validation, and implementation, using technologies like Python, AWS, and Spark. The ideal candidate is customer-focused, innovative, creative, technically proficient, statistically-minded, and skilled in handling large datasets. | Post-train | 7 |
| Manager, Data Scientist - Card Intelligence Model Risk Management Manager, Data Scientist role focused on Card Intelligence Model Risk Management within Capital One's fintech domain. The role involves building machine learning models through all phases of development, including design, training, evaluation, validation, and implementation. It requires partnering with cross-functional teams and leveraging technologies like Python, AWS, H2O, and Spark. The position emphasizes statistical modeling, data analysis, and understanding customer data to drive data-driven decision-making. Experience in model governance and end-to-end development is preferred. | Post-train | 7 |
| Lead Data Scientist - Deep Learning Practitioner Lead Data Scientist role focused on developing and deploying deep learning models for underwriting and supporting LLM-based product development in a fintech company. | Post-trainServe | 7 |