Graduate Data Scientist

About the Role

Join our Sportsbook team as a Graduate Data Scientist / Trader, where you'll gain hands-on experience working at the intersection of quantitative modeling and trading operations. You'll help support the development and monitoring of predictive models that power real-time odds and trading decisions, while also participating in trading workflows for pre-match and in-play sports betting markets.

This is an excellent opportunity for an analytically minded graduate with a passion for sports, data, and betting markets to learn from an experienced team and grow into a hybrid quant/trading role.

Key Responsibilities

• Assist in building, testing, and maintaining statistical models used to price sportsbook markets (e.g., moneyline, spreads, totals, props).
• Conduct exploratory data analysis and feature engineering using historical sports data and real-time feeds.
• Analyze performance metrics like margin, P&L, and customer behavior to improve pricing accuracy and model calibration.
• Work closely with Trading, Product, and Engineering teams to support model improvements and ensure seamless trading execution..
• Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class.
• Support traders with pricing, risk management, and market monitoring during live events.
• Monitor odds movement, betting patterns, and liabilities to help ensure market efficiency.
• Contribute to setting pre-match and in-play prices using internal tools and models.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or similar.
• Solid foundation in probability and statistics, with an interest in applying these to real-world problems.
• Strong programming skills in Python (especially with data-focused libraries like pandas and NumPy).
• Passion for sports and interest in sportsbook mechanics or financial markets.
• Strong attention to detail, especially when working with live data and pricing environments.
• Willingness to work flexible hours during major sporting events as needed.

Nice to Have

• Familiarity with sports betting odds and common market types (e.g., spread, totals, player props).
• Exposure to sports analytics or participation in data competitions (e.g., Kaggle, university research).
• Experience with data visualization tools or dashboarding
• Prior experience in a sportsbook, trading desk, or similar high-tempo environment.