Data Science Intern - Fall 2026
PrizePicks - Atlanta, Georgia, United States
Posted Jun 4, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified
- 401(k) match
- Reported not verified - source not recorded; source URL not recorded; timestamp not recorded
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Market context
- U.S. role benchmark (BLS OEWS)
- $111,944 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
U.S. benchmark only; posted salary is not compared across countries or currencies.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Science Intern - Fall 2026 Atlanta, Georgia, United States 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 550 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? Data Scientist Intern - Fall 2026 This internship offers students the opportunity to work with the data science team on complex sports modeling and pricing problems, contributing to model development while researching innovative approaches to projection and line-setting in daily fantasy sports. 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 and prediction markets. What you'll do: - Learn from the PrizePicks data science team how we approach sports projection modeling, line calibration, and hold optimization across dozens of sports and stat types. - Contribute to model development, iteration, and data collection for player performance projections and pricing. - Research new approaches to fantasy sports challenges - calibration, probabilistic forecasting, line movement, and stat-level modeling. What you have: - Demonstrable history of projects that are sports-focused or involve probabilistic modeling, forecasting, or prediction markets. - Strong technical or quantitative background pursuing a degree in computer science, statistics,
Read the full description at prizepicks.com. FewerJobs shows a preview and links to the original posting.
Apply link not verified; last-live date unavailable.
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