FAQs
What is the duration of the Data Science Internship at Capital One?
The Data Science Internship is a full-time paid program that spans ten weeks from June through August 2025.
Is the internship remote or in-person?
Participation in the internship requires in-person attendance at your assigned location within the continental United States, in accordance with Capital One’s hybrid working model.
What are the basic qualifications to apply for the internship?
Applicants must be currently pursuing a Master’s degree with an expected graduation by August 2026 or earlier, must continue in the same course of study after the internship, and must have at least six months of experience or academic work using open source programming languages for data analysis and machine learning techniques.
Is this internship a paid position?
Yes, this is a full-time paid internship.
Will Capital One sponsor employment authorization for this internship?
No, Capital One will not sponsor a new applicant for employment authorization for this internship position.
What programming languages should applicants be familiar with?
Preferred programming languages include Python, R, or SQL.
Will interns be considered for full-time positions after the internship?
Yes, interns will be evaluated for a full-time position with their team and will work with their manager to identify a start date upon graduation.
What skills or experiences are preferred for applicants?
Preferred qualifications include experience or academic work in inferential statistics, relational databases, and large-scale data analysis.
What is the salary range for the Data Science Internship?
The salary for a Data Science Intern is $149,000 in New York City and $158,000 in San Francisco; candidates hired for other locations will be subject to the pay range associated with that location.
What qualities does Capital One look for in a Data Science Intern?
Capital One seeks intellectually curious individuals who are builders, experimental scientists, and effective communicators, with a passion for exploring new ideas and delivering better customer experiences.