Jobs · Training · California

Current Master's - Data Science Internship - Summer 2027

Capital One · San Jose, CA · Today
Training$147k/yrInternship

About the role

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

Responsibilities

  • 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

Requirements

  • 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 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

Benefits

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 amount Capital One is willing to pay at the time of this posting.

  • Cambridge, MA: $147,000 - $147,000 for Data Science Intern
  • Chicago, IL: $134,000 - $134,000 for Data Science Intern
  • Mclean, VA: $147,000 - $147,000 for Data Science Intern
  • New York, NY: $161,000 - $161,000 for Data Science Intern
  • Plano, TX: $134,000 - $134,000 for Data Science Intern
  • Richmond, VA: $134,000 - $134,000 for Data Science Intern
  • San Francisco, CA: $161,000 - $161,000 for Data Science Intern
  • San Jose, CA: $161,000 - $161,000 for Data Science Intern

Pay

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Schedule

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.

Skills

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.

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.

Qualifications

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

Application Instructions

No agencies please.

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