Data Science Internship - Summer 2026
About The Position
At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 450 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? Summer 2026 Data Science Internship This internship at PrizePicks offers students the opportunity to work with the data science team on complex sports modeling problems, contributing to model development while researching innovative approaches to fantasy sports challenges. Ideal candidates have a strong technical background in computer science, statistics, or related fields, with proficiency in Python and SQL, and a passion for sports analytics. Standout applicants will have experience with lower-level programming languages, machine learning algorithm development, and demonstrated success in open-source projects or data science competitions.
Requirements
- Demonstrable history of projects that are either sports-focused or are related to building novel approaches to machine learning.
- Strong technical or math/statistics background.
- Computer science, statistics, math, physics, economics, etc. major.
- Strong coding skills - Python, SQL.
- Interest in sports betting, prediction markets, or fantasy sports.
- This internship is for rising juniors, Master's students, or recent graduates, within 1 semester of graduation, who are authorized to work in the U.S.
- We’re open to a wide range of majors like Statistics, Data Science, Economics, and Computer Science , but the most important thing is your passion for data and a project to show for it.
- You must be authorized to work for any employer in the U.S.
- We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Nice To Haves
- Experience with lower-level programming languages - Rust, Java, C++.
- Demonstrable background/coursework building machine learning algorithms from scratch.
- Success in open-source projects e.g. Big Data Bowl, Kaggle, school research labs.
Responsibilities
- Learn from the PrizePicks data science team on how we approach the most difficult sports modeling problems.
- Contribute to model development, iteration, and data collection.
- Research new initiatives and model unique approaches to problems in fantasy sports.
Benefits
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed
