Capital One Current PhD - Data Science Internship Summer 

United States, Virginia, Arlington 

603043410

Current PhD - Data Science Internship - Summer 2026

Key Role Details

• This is a full-time paid internship program spanning ten weeks from June through August 2026.

• Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One’s, for the duration of the program.

• Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation

Basic Qualifications

• Currently has, or is in the process of obtaining a PhD inone of the following areaswith an expectation that the required degree will be obtained by August 2028 or earlier:

  • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

• Must be continuing in the same course of study of your PhD degree following completion of the internship

• At least 6 months 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

• At least 6 months of experience with either Python, R or SQL

Preferred Qualifications:

• Experience or academic work in inferential statistics

• Experience or academic work with relational databases

• Experience or academic work with large scale data analysis

Data Science Internship - 2026

As a Data Scientist at Capital One, you’ll be part of a high-performing team that’s embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

• 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

We'd love to find someone who is…

• Intellectually curious.You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment

• A builder.You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

• An experimental scientist.You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

• A Communicator.

Cambridge, MA: $174,000 - $174,000 for Data Science PhD Intern Chicago, IL: $158,000 - $158,000 for Data Science PhD Intern McLean, VA: $174,000 - $174,000 for Data Science PhD Intern New York, NY: $190,000 - $190,000 for Data Science PhD Intern Plano, TX: $158,000 - $158,000 for Data Science PhD Intern Richmond, VA: $158,000 - $158,000 for Data Science PhD Intern San Francisco, CA: $190,000 - $190,000 for Data Science PhD Intern San Jose, CA: $190,000 - $190,000 for Data Science PhD Intern

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.