About the role#
This is a full-time, paid internship program spanning ten weeks from June through August 2027. As a Data Science intern, you will join a high-performing team focused on machine learning, deep learning, or quantitative initiatives. You will contribute to projects that help customers manage their financial lives while engaging with diverse teams across the company. Interns are evaluated for potential full-time positions upon graduation.
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 customers and company leadership.
What you'll need#
- Currently pursuing a Master's degree in a quantitative field (such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Computer Science) or an MBA with a quantitative concentration.
- Must be continuing in the same course of study following the completion of the internship.
- At least 6 months of experience or academic work using open-source programming languages for data analysis.
- At least 6 months of experience or academic work using machine learning techniques.
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 sponsor applicants for employment authorization for this internship.
How to get in at Capital One
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