Data Science Intern

Capital One Financial

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: McLean, VACambridge, MAChicago, ILRichmond, VAPlano, TX
Employment: Intern
Posted: 53 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k

$102k most similar roles pay here $243k

This listing doesn't post a salary. Most similar roles pay $115,262–$228,987.

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 Intern

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Current PhD - Data Science Internship - Summer 2027 involves joining a high-performing team to solve financial services challenges through groundbreaking techniques. The role focuses on supporting machine learning, deep learning, or quant initiatives across the enterprise. Day-to-day 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. Candidates must possess experience in machine learning techniques, inferential statistics, relational databases, and large scale data analysis. The required technical toolkit includes proficiency in Python, R, or SQL, along with experience using open-source programming languages for data analysis. This position addresses complex financial problems by leveraging advanced computing technologies to uncover insights from both structured and unstructured data sources.

Skills

Python R SQL Machine Learning Deep Learning Relational Databases Inferential Statistics Data Analysis APIs Feature Engineering

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 by mining unstructured data sources for behavior, intent, and sentiment.
Experiment with new combinations of tools, techniques, and feature engineering approaches.
Translate technical ideas into clear verbal and written communications for diverse business partners.

What we're looking for

Must have or be pursuing a PhD in a quantitative field with an expected completion date of August 2029 or earlier.
Must continue in the same course of study for the PhD degree following 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.
At least 6 months of experience with either Python, R, or SQL.
Preferred experience or academic work in inferential statistics and relational databases.
Preferred experience or academic work with large scale data analysis.

PhD Research & Development Intern

Maplewood, MN +1 10 days ago

Python MATLAB C C++ R Microsoft Azure ML AWS ML Machine Learning Deep Learning Computer Vision Artificial Intelligence Data Science Big Data Object-Oriented Design Statistics Simulations Chemical Engineering Materials Science

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