Data Science Internship

Capital One Financial

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
McLean, VACambridge, MAChicago, ILRichmond, VAPlano, TX
Employment
Intern
Posted
53 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

How this pay compares to similar roles

Similar $177k
$107k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $123,625–$229,400.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Data Science Internship

Current Master's - Data Science Internship - Summer 2027 involves joining a high-performing team to solve financial services challenges through groundbreaking techniques. As an intern, you will work on machine learning, deep learning, or quant initiatives across the enterprise. Your daily responsibilities include evaluating open-source and internally-developed modeling and analytics tools using real business data, integrating internal data with external sources and APIs to discover actionable insights, and designing data science models to communicate solutions to leadership. The role requires proficiency in Python, R, or SQL, along with experience in inferential statistics, relational databases, and large scale data analysis. You will utilize these skills to mine data for insights into behaviors, intent, and sentiment while experimenting with new feature engineering approaches and tools to improve customer experiences within the financial services domain.

What you'll do

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data.
  • Integrate internal data with external sources and APIs to discover actionable insights.
  • Design and craft data science models to communicate solutions to customers and leadership.
  • Develop self-adaptive models and analyze unstructured data sources to identify behaviors and sentiments.
  • Experiment with new combinations of tools, techniques, and feature engineering approaches.
  • Communicate technical ideas through verbal and written channels to meet the needs of various audiences.

What we're looking for

  • Pursue a Master's degree in a quantitative field or an MBA with a quantitative concentration.
  • Expect to obtain the required degree by August 2028 or earlier.
  • Must be continuing in the same course of study after completing the internship.
  • Have at least 6 months of experience or academic work using open source programming languages for data analysis.
  • Have at least 6 months of experience or academic work using machine learning techniques.
  • Possess direct experience with Python, R, or SQL.
  • Have experience or academic work in inferential statistics and relational databases.
  • Have experience or academic work with large scale data analysis.

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