Current Master's - Data Science Internship - Summer 2027

This is a full-time paid internship program spanning ten weeks from June through August 2027. Participation requires in-person attendance at your assigned location in the continental United States, in accordance with Capital One’s hybrid working model. Interns will be evaluated for a full-time position with their team and will work with their manager to identify a start date upon graduation. Capital One will not sponsor a new applicant for employment authorization for this internship position, but a full-time Data Science role—considered upon completion—is eligible for employer immigration sponsorship.

About the role

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

Role and team focus areas may include supporting machine learning, deep learning, or quantitative 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’re looking for someone who is:

• Intellectually curious. You ask why, explore, and are excited to imagine and create new ideas by inventing self-adaptive models or 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 products to customers and have a deep sense of ownership for your craft.
• An experimental scientist. You love 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.

Requirements

Basic Qualifications:

• Currently pursuing one of the following with an expectation that the required degree will be obtained by August 2028 or earlier:
  • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
  • An MBA with a quantitative concentration
• Must be continuing in the same course of study of your Master’s degree following 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

Preferred Qualifications:

• Direct experience with 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

Pay

The full-time annual salary for this role is listed below by location. Salaries for part-time roles will be prorated based on agreed-upon hours. Candidates hired to work in other locations will be subject to the pay range associated with that location.

• Cambridge, MA: $147,000
• Chicago, IL: $134,000
• McLean, VA: $147,000
• New York, NY: $161,000
• Plano, TX: $134,000
• Richmond, VA: $134,000
• San Francisco, CA: $161,000
• San Jose, CA: $161,000

Benefits

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