Current PhD - Data Science Internship - Summer 2027

Capital One; McLean (VA); On-site; USD 158,400 - 193,600; Full time

Job summary

Capital One seeks a Current PhD Data Science Internship for Summer 2027 (June–August 2027). This full‑time, paid ten‑week program requires in‑person attendance in the continental United States.

Interns may be evaluated for a full-time role with potential sponsorship considerations after graduation. The role emphasizes applying machine learning, statistics, and data analytics to real business problems, with opportunities to collaborate across teams and APIs.

Qualifications

• PhD student or holder in Statistics, Economics, OR, Analytics, Mathematics, CS or related field.
• Graduation by Aug 2029 or earlier.
• Minimum 6 months experience with data analysis using Python, R or SQL.

Responsibilities

• Evaluate open-source and internal modeling tools using real business data.
• Integrate internal data with external sources and APIs to derive insights.
• Design data science models and communicate results to stakeholders.

Skills

Python

R

SQL

Machine learning

Data analysis

Relational databases

Large-scale data analysis

Inferential statistics

Education

PhD in a quantitative field

Tools

Open-source tools

Job description

Job Overview

Current PhD Data Science Internship – Summer 2027 (June–August 2027). Full‑time, paid internship spanning ten weeks, requiring in‑person attendance in the continental United States. Interns are evaluated for a full‑time position with the team, with a potential offer after graduation. The internship does not sponsor a new applicant for employment authorization; a full‑time Data Science role that follows may be eligible for employer immigration sponsorship.

Requirements

Basic Qualifications

• Currently pursuing or holding a PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) with expected graduation by August2029 or earlier.
• Continuing the same course of study after completing the internship.
• Minimum 6 months of experience or academic work using open‑source programming languages for data analysis.
• Minimum 6 months of experience or academic work using machine learning techniques.
• Minimum 6 months of experience with Python, R, or SQL.

Preferred Qualifications

• Experience or academic work in inferential statistics.
• Experience or academic work with relational databases.
• Experience or academic work in 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.

Soft Skills & Characteristics

• Intellectually curious and eager to explore new ideas.
• Builder mindset with ownership of deliverables.
• Experimental scientist willing to test new tools, techniques, and feature engineering approaches.
• Strong communicator who shares technical ideas across verbal and written channels.

Salary & Benefits

Salary ranges (annualized) by location:

• Cambridge, MA: $176,000 – $176,000
• Chicago, IL: $160,000 – $160,000
• McLean, VA: $176,000 – $176,000
• NewYork, NY: $192,000 – $192,000
• Plano, TX: $160,000 – $160,000
• Richmond, VA: $160,000 – $160,000
• SanFrancisco, CA: $192,000 – $192,000
• SanJose, CA: $192,000 – $192,000

CapitalOne offers a comprehensive, competitive, and inclusive set of health, financial and other benefits to support employee well‑being.

Equal Opportunity Statement

CapitalOne is an equal opportunity employer (EOE, including disability/veteran) committed to non‑discrimination in compliance with applicable federal, state, and local laws. The company promotes a drug‑free workplace and considers qualified applicants with a criminal history in accordance with applicable laws.