Capital One
Financial Services
PrincipalAssociate,DataScience-AIFoundations
Neural analysis suggests this role is
optimal for Senior candidates.
“Principal Associate, Data Science - AI Foundations at Capital One. Skills: Generative AI, LLM, Conversational AI, NLP. Partner with cross-functional team. Deliver AI powered products”
What You'll Achieve.
Enhance customer digital experience; Enhance real time support; Improve customer experience
Industry & Context.
Solving complex problems; Solving ambiguous problems
What They're Looking For.
Must Have
Bachelor's Degree in quantitative field plus 5 years of experience, Master's Degree in quantitative field or MBA with quantitative concentration plus 3 years of experience, PhD in quantitative field, 5 years of experience performing data analytics, 3 years of experience performing data analytics, SQL proficiency
Nice to Have
Master's Degree in STEM field plus 3 years of experience, PhD in STEM field, 1 year of experience working with AWS, 3 years of experience in Python, Scala, or R, 3 years of experience with machine learning, 3 years of experience with SQL
What You'll Do.
Partner with cross-functional team
Deliver AI powered products
Lead research and development in Generative AI
Build scalable digital assistant solutions
Fine-tune advanced Large Language Models
Manage multi-agentic workflows
Leverage technologies
Be expert in Natural Language Processing
Adapt LLMs for business applications
Fine-tune LLMs for business features
Integrate models into production systems
Translate AI/ML research into business outcomes
Improve customer experience
How You'll Work.
Team & Collaboration
Cross-functional team; Data scientists; Software engineers; Machine learning engineers; Product managers
Communication Scope
Communicate complex ideas
Full Job Description
Principal Associate, Data Science - AI Foundations 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:** The GenAI Powered Digital Assistant Team in AI Foundations engage in active research in GenAI powered conversational capabilities and build scalable futuristics solutions to enhance our customers digital experience and real time support through digital assistance. You will be the driving force to lead research, innovate and develop applications with emerging AI/ML technologies. Our areas of research include advanced LLM powered digital Assistant, multi-agentic workflow, domain specific conversational large language model tuning and inference optimization. **In this role, you will:** * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI powered products that change how developers write software. * Lead cutting-edge research and development in Generative AI (GenAI) to enhance conversational AI capabilities and build scalable, futuristic digital assistant solutions. * Fine-tune advanced Large Language Models (LLMs) for domain-specific conversational applications, inference optimization, and multi-agentic workflows. * Leverage a broad stack of technologies —
Applying for this Principal Associate, Data Science - AI Foundations role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Capital One?
Real rants from real employees. Read before you apply.