PhD Data Science Internship - Paid, 10 Weeks, Hybrid

Capital One; Richmond (VA); Hybrid; USD 144,000 - 176,000; Full time

Job summary

Capital One's Data Science Internship is a ten-week, paid program running from June through August 2027. It requires relocation to an assigned Capital One location in the continental U.S. with in-person attendance, within a hybrid working model.

Interns may be evaluated for a full-time role with their team and start date is determined with their manager after graduation. Applicants should be pursuing a PhD in a quantitative field and have 6 months experience with data analysis, machine learning,

Qualifications

• Currently has, or is in the process of obtaining a PhD in a quantitative field with graduation by Aug 2029 or earlier
• Must be continuing in the same course of study after internship
• At least 6 months of experience with data analysis using open source languages
• At least 6 months of experience with machine learning techniques
• At least 6 months of experience with Python, R or SQL

Responsibilities

• Evaluate open-source and internal modeling/analytics tools using real business data
• Integrate internal data with external data sources and APIs to derive insights
• Design data science models to communicate solutions to customers and leadership

Skills

Python

R

SQL

Machine Learning

Data analysis

Education

PhD in quantitative field

Job description

Capital One's Data Science Internship is a ten-week, paid program running from June through August 2027. It requires relocation to an assigned Capital One location in the continental U.S. with in-person attendance, within a hybrid working model.

Interns may be evaluated for a full-time role with their team and start date is determined with their manager after graduation. Applicants should be pursuing a PhD in a quantitative field and have 6 months experience with data analysis, machine learning,