Current PhD - Data Science Internship - Summer 2026 at Capital One

McLean, Virginia, United States

Capital One Logo
Not SpecifiedCompensation
InternshipExperience Level
InternshipJob Type
NoVisa
Financial ServicesIndustries

Requirements

  • Basic Qualifications
  • Currently has, or is 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 expectation of degree completion by August 2028 or earlier
  • Must be continuing in the same course of study for PhD degree following internship completion
  • 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
  • At least 6 months of experience with either Python, R, or SQL
  • Located in the continental United States with in-person attendance at assigned location for the full 10-week program (June through August 2026) per hybrid working model
  • Preferred Qualifications
  • 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

Skills

Key technologies and capabilities for this role

PythonRSQLMachine LearningInferential StatisticsRelational DatabasesLarge Scale Data Analysis

Questions & Answers

Common questions about this position

Is this internship paid, and what is the duration?

This is a full-time paid internship program spanning ten weeks from June through August 2026.

What is the location and work arrangement for this internship?

Internship requires location in the continental United States with in-person attendance at your assigned location, following Capital One’s hybrid working model, for the duration of the program.

What are the basic qualifications and required skills for this Data Science internship?

Candidates must be current PhD students in a quantitative field like Statistics, Economics, or Computer Science, expecting degree by August 2028, continuing PhD studies after internship, with at least 6 months experience in open source programming for data analysis, machine learning techniques, and Python, R, or SQL.

What is the team and work environment like at Capital One for this internship?

You'll be part of a high-performing team embracing latest computing technologies, working on machine learning, deep learning, or quant initiatives, continuously learning, engaging in diverse experiences, and building close-knit relationships across the company.

What makes a strong candidate for this Data Science internship?

Strong candidates are intellectually curious PhD students who explore, create new ideas, and have preferred experience in inferential statistics, relational databases, and large scale data analysis.

Capital One

Offers diverse financial products and services

About Capital One

Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.

McLean, VirginiaHeadquarters
2014Year Founded
$15.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees

Benefits

Medical, Dental, & Vision coverage
Onsite Health Centers
Prescription saving with network of local pharmacies
Stock Purchase Plan
Education Assistance
401(k)
Flexible Spending Accounts
Life and Disability insurance
Generous paid time off + corporate & floating holidays
Registered dieticians on site, cooking classes and free virtual fitness classes
Employee Assistance Program

Risks

Increased competition in subscription management tools may dilute Capital One's advantage.
Over-reliance on partnerships could expose Capital One to technological risks.
Departure of key personnel like Joe Rodriguez may affect risk management continuity.

Differentiation

Capital One offers user-friendly banking with no fees or minimums for checking accounts.
The company partners with Khan Academy to provide financial literacy education.
Capital One is the first major U.S. bank to offer subscription management tools.

Upsides

Capital One's mobile app is a model for secure, user-friendly digital banking.
Data sharing with Worldpay enhances payment security and fraud prevention.
Partnerships with fintechs like Minna Technologies improve customer experience.

Land your dream remote job 3x faster with AI