About the Role
This is a full-time paid internship program spanning ten weeks from June through August 2027. 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.
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 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, with an expectation that the required degree will be obtained by August 2028 or earlier
- 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
Skills
- Python
- R
- SQL
- Inferential statistics
- Relational databases
- Large scale data analysis
Location
- Cambridge, MA
- Chicago, IL
- McLean, VA
- New York, NY
- Plano, TX
- Richmond, VA
- San Francisco, CA
- San Jose, CA
Work Type
- Full-time
- Paid internship
- In-person attendance
- Hybrid working model
Experience Level
- Internship
Education Level
- Master's Degree in a quantitative field
- MBA with a quantitative concentration
Salary/Compensations
- $147,000 - $147,000
- $134,000 - $134,000
- $161,000 - $161,000
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
About the Company
- 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.
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- Capital One promotes a drug-free workplace.
- Capital One Financial is made up of several different entities.
Equal Opportunity
- Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
- Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
