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Job Description

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/ / 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.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.