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Capital One

Data Science Internship

Capital One

Data Science Internship at Capital One focusing on quantitative analysis and machine learning in a dynamic team. Evaluate modeling tools, integrate data sources, and design data science models for actionable insights.

Posted 7/21/2026internshipMcLean • Illinois, Massachusetts, Texas, Virginia • 🇺🇸 United StatesEntry Level💰 $134,000 - $161,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in data analysis and machine learning techniques, with a strong foundation in quantitative fields such as Statistics or Computer Science. Proficient in integrating diverse data sources and crafting data science models to derive actionable insights.

Highest-signal resume keywords
Python ProgrammingR ProgrammingSQL ProficiencyMachine Learning TechniquesInferential Statistics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisOpen Source ProgrammingLarge Scale Data AnalysisRelational DatabasesModeling Techniques
Industry Keywords
Quantitative FieldAnalyticsOperations ResearchEconomicsMathematics

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 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
  • 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: 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

Benefits

Comp & perks
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.