Quantitative Research Intern

last updated April 12, 2026 0:33 UTC

Detroit Lions

HQ: Remote

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The Detroit Lions are seeking a motivated and independent intern to complete a football-based quantitative research project. This is a remote, part-time, paid internship structured as an educational and professional development opportunity. The internship will require approximately 15 hours of work per week for 10 weeks, and will include regular check-ins with the project lead and project milestones.

QUALIFICATIONS/REQUIREMENTS:

  • Passion for the game of football
  • Intellectual curiosity and enthusiasm for answering questions with data
  • Strong quantitative intuition and skills
  • Ability to build statistical models in R or Python
  • Coursework in statistics and/or machine learning
  • Strong work ethic, integrity, and commitment to confidentiality.
  • Self-directed, proactive, and able to work independently
  • Interns must perform all work from within the United States. The work location will be treated as the intern’s physical location.
  • Employment is at-will and may be terminated by either the intern or the organization at any time, with or without cause or notice.

SUPPLEMENTAL MATERIALS (OPTIONAL)

  • Please feel free to include any prior data analytics deliverables with your application, such as competition submissions (e.g., NFL Big Data Bowl), theses, class papers, GitHub repos, blog posts, presentation slides, or detailed social media threads. Only include materials for which you the authority to share and submit.
  • If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application

WORKING CONDITIONS:
Work Environment: This is a remote internship. Interns are expected to maintain a safe and distraction-free work environment. The organization recommends that interns establish an ergonomic workstation. Interns are encouraged to take regular breaks and to report any discomfort related to their work setup.

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To apply for this job, please visit the application page

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