About the role#
This is a full-time, paid internship program spanning ten weeks from June through August 2027. You will join a team focused on using computing technologies to solve financial services challenges. Interns contribute from day one by engaging in diverse experiences and supporting machine learning, deep learning, or quantitative initiatives across the enterprise. Participants will be evaluated for potential full-time positions following the completion of the program.
What you'll do#
- Evaluate open-source and internally-developed modeling and analytics tools using real business data.
- Integrate internal data with external data sources and APIs to discover and implement actionable insights.
- Design and craft data science models to communicate solutions to company leadership.
- Contribute to machine learning, deep learning, or quantitative initiatives.
What you'll need#
- Currently pursuing a PhD in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) with an expected graduation date of August 2029 or earlier.
- Must be continuing in the same course of study following the internship.
- At least 6 months of experience or academic work using open-source programming languages for data analysis, specifically Python, R, or SQL.
- At least 6 months of experience or academic work with machine learning techniques.
- Preferred: Experience or academic work in inferential statistics, relational databases, and large-scale data analysis.
Location & details#
- Locations: McLean, VA; Cambridge, MA; Chicago, IL; Richmond, VA; Plano, TX; San Francisco, CA; San Jose, CA; New York, NY.
- Modality: This is an on-site position requiring in-person attendance.
- Sponsorship: Capital One will not provide immigration sponsorship for this internship position.
How to get in at Capital One
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