Paid Data Science PhD Internship – Hybrid (Summer 2027)

Capital One; Chicago (IL); On-site; USD 136,000 - 184,000; Full time

Job summary

Capital One invites you to join its Data Science Internship, a ten-week, full-time paid program across several U.S. locations. Interns will be evaluated for a potential full-time role and will work with a manager to identify a start date after graduation.

The internship emphasizes hands-on data science work, exposure to machine learning and analytics, and collaboration with teams to deliver insights. A clear path to a full-time role exists based on performance and business needs.

Qualifications

• PhD in a quantitative field expected by Aug 2029 or earlier.
• Continuing in same PhD program after internship.
• At least 6 months experience with data analysis using open source languages.
• At least 6 months experience with machine learning.
• At least 6 months experience with Python, R, or SQL.
• Experience with inferential statistics.
• Experience with relational databases.
• Experience with large-scale data analysis.

Responsibilities

• 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.

Skills

Python

R

SQL

Machine learning

Data analysis

Education

PhD in quantitative field

Job description

Capital One invites you to join its Data Science Internship, a ten-week, full-time paid program across several U.S. locations. Interns will be evaluated for a potential full-time role and will work with a manager to identify a start date after graduation.

The internship emphasizes hands-on data science work, exposure to machine learning and analytics, and collaboration with teams to deliver insights. A clear path to a full-time role exists based on performance and business needs.