PhD - Data Science Internship - Summer

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 hybrid working model (,independent%20and%20heads%2
  
  Ddown%20work.) , 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

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

• Currently has, or is in the process of obtaining a PhD in one of the following areas with 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

• Experience or academic work in inferential statistics

• Experience or academic work with relational databases

• Experience or academic work with large scale data analysis

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.

• 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

• 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. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the…