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Capital One

Data Science Intern

Capital One

PhD Data Science Intern role leveraging data analysis and machine learning techniques at Capital One. Engaging in high-impact projects while pursuing a doctoral degree in a quantitative field.

Posted 7/21/2026internshipMcLean • California, Illinois, Massachusetts, New York, Texas, Virginia • 🇺🇸 United StatesEntry Level💰 $160,000 - $192,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science model design and integration of internal and external data sources to derive actionable insights. Proficient in open-source programming languages and machine learning techniques, with a strong foundation in quantitative analysis.

Highest-signal resume keywords
PhD In Quantitative FieldOpen Source Programming LanguagesMachine Learning TechniquesPythonR

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData Science ModelingStatistical AnalysisQuantitative ResearchAnalytics
Tools & Technologies
APIs
Industry Keywords
Business DataActionable Insights

Tech Stack

Tools & technologies
Open SourcePythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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)
  • 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

Benefits

Comp & perks
  • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being