Current Master's - Data Science Internship - Summer 2027

Details 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. 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 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 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 Data Science Internship - 2027 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