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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 role is eligible for employer immigration sponsorship for a full-time position upon completion of the internship.

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 have, or are in the process of obtaining a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) with an expectation that the required degree will be obtained by August 2029 or earlier
• Must be continuing in the same course of study of your PhD degree following completion of the internship
• At least 6 months 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
• At least 6 months of experience with either Python, R or SQL

Skills

• Inferential statistics
• Relational databases
• Large scale data analysis
• Intellectual curiosity
• Building and delivering customer experiences
• Experimental science
• Communication (verbal and written)

Location

• Cambridge, MA
• Chicago, IL
• McLean, VA
• New York, NY
• Plano, TX
• Richmond, VA
• San Francisco, CA
• San Jose, CA

Work Type

• Full-time
• In-person

Experience Level

• PhD Candidate

Education Level

• PhD

Salary/Compensations

• $176,000 - $176,000
• $160,000 - $160,000
• $192,000 - $192,000

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.
• 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 promotes a drug-free workplace.
• 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.