Data Science Intern

Capital One Financial

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
McLean, VACambridge, MAChicago, ILRichmond, VAPlano, TXSan Francisco, CASan Jose, CANew York, NY
Employment
Full-time
Posted
99 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

How this pay compares to similar roles

Similar $164k
$102k $226k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $114,400–$214,000.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Data Science Intern

Current Master's - Data Science Internship - Summer 2027 is a ten-week full-time internship where participants join a high-performing team to solve financial services challenges. Interns will evaluate open-source and internally-developed modeling and analytics tools using real business data. Day-to-day responsibilities include integrating internal data with external sources and APIs to discover actionable insights, as well as designing and crafting data science models to communicate solutions to leadership. The role requires proficiency in open-source programming languages for data analysis and machine learning techniques. Preferred skills include Python, R, SQL, inferential statistics, relational databases, and large scale data analysis. The work focuses on supporting machine learning, deep learning, or quant initiatives to help customers improve their financial lives through groundbreaking techniques and self-adaptive models.

What you'll do

  • 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 actionable insights.
  • Design and craft data science models to communicate solutions to customers and leadership.
  • Support machine learning, deep learning, or quant initiatives across the enterprise.
  • Mine data for insights into behaviors, intent, and sentiment.
  • Experiment with new combinations of tools, techniques, and feature engineering approaches.
  • Share technical ideas with teammates and business partners through verbal and written channels.

What we're looking for

  • Must be currently pursuing a Master's degree in a quantitative field or an MBA with a quantitative concentration.
  • Must expect to obtain the required degree by August 2028 or earlier.
  • Must be continuing in the same course of study of the Master's degree following the internship.
  • Must have at least 6 months of experience or academic work using open source programming languages for data analysis.
  • Must have at least 6 months of experience or academic work using machine learning techniques.
  • Must be located in the continental United States for in-person attendance.
  • Direct experience with either Python, R, or SQL (preferred).
  • Experience or academic work in inferential statistics, relational databases, or large scale data analysis (preferred).

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