Sports Data Scientist

Data Scientist (Multiple roles, various seniority) | Sports Data (Pick YOUR sport)

We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for the sport, ensuring that the insights they deliver are both rigorous and practical!

Cricket, Tennis, Horse Racing or Football (Soccer) focussed...

Essential Skills (Across the ground/ court/ track/ pitch):

• Python programming.
• Practical experience working with sport data (either professionally or within personal projects).
• Exposure with statistical methods, sports modelling and machine learning, with the ability to apply them to real-world sporting problems.
• Genuine passion for Cricket, Tennis, Horse Racing or Football and a curiosity-driven approach to understanding the sport.

Day-to-Day Duties (Throughout the venue):

• Analyse sport datasets using advanced data science techniques to uncover insights on team and player performance, tactics and trends.
• Clean, process and analyse the sport datasets to create sport performance metrics.
• Build predictive sport models and analytical frameworks.
• Contribute to internal research projects exploring new metrics, analytical methods or innovative applications of sport data.

Benefits (Beyond the match/ race/ game):

• An impact from day one.
• Direct involvement with sport and the chance to apply data science to the real-world sporting calendar.
• Creative freedom to experiment and innovate.
• Supportive, collaborative culture that encourages learning and growth.
• A vibrant team culture with a shared passion for sports.
• Access to the latest tools and technologies.
• Collaborative, flexible, hybrid working model.
• Competitive salary, plus an endless list of benefits.