Quantitative Research Intern

Detroit Lions · Allen Park · Remote

Posted 8/19/2026 · last confirmed live 8/26/2026

The  Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club’s Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling. Qualifications Passion for the game of football Intellectual curiosity and enthusiasm for answering questions with data Ability to build statistical models in R or Python required Coursework in statistics and/or machine learning required Strong quantitative intuition Self-directed, proactive, and able to work independently Optional Supplemental Materials If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application Time Commitment This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period . Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.

This role is published by Detroit Lions on greenhouse. SwiftFit is not the employer and does not accept applications.