Current PhD - Data Science Internship - Summer 2027

About the role

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.

What you'll do

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

Who we're looking for

• 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.

Basic qualifications

• Currently has, or is in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) with an expectation that the required degree will be obtained by August 2029 or earlier
• 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

Program details

This is a full-time paid internship program spanning ten weeks from June through August 2027. Participation 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, 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 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.

Pay

• Cambridge, MA: $176,000 - $176,000 for Data Science PhD Intern
• Chicago, IL: $160,000 - $160,000 for Data Science PhD Intern
• McLean, VA: $176,000 - $176,000 for Data Science PhD Intern
• New York, NY: $192,000 - $192,000 for Data Science PhD Intern
• Plano, TX: $160,000 - $160,000 for Data Science PhD Intern
• Richmond, VA: $160,000 - $160,000 for Data Science PhD Intern
• San Francisco, CA: $192,000 - $192,000 for Data Science PhD Intern
• San Jose, CA: $192,000 - $192,000 for Data Science PhD Intern

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.