About The Position

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. 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!

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) or 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

Nice To Haves

  • 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

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

Benefits

  • This is a paid internship.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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