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 machine learning, deep learning, or quantitative initiatives. Interns contribute to the company from day one by engaging in diverse experiences and building professional relationships. This role is on-site, and participants must be located in the continental United States for the duration 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 customers and company leadership.
What you'll need#
- Currently pursuing a Master's degree in a quantitative field (such as Data Science, Computer Science, Mathematics, or Statistics) or an MBA with a quantitative concentration.
- Expectation that the degree will be obtained by August 2028 or earlier, with plans to continue 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.
- 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.
- Term: Summer 2027.
- Modality: On-site.
- Sponsorship: Capital One will not sponsor a new applicant for employment authorization for this internship position.
