Overview
Data Scientist – Hybrid – London – AI / ML Solutions - Football Analytics
Role
The role involves applying data science to football data to drive data optimisation and models that support decision-making in scouting, recruitment, and match preparation.
Responsibilities
* Work directly with large-scale football datasets (event + tracking) to deliver tools that influence real-world decisions on scouting, recruitment, and match preparation.
* Build predictive and comparative models (player performance, tactical fit, clustering, classification) that shape squad planning and transfer strategies.
* Design and automate reporting pipelines—from in-depth analysis for analysts/coaches to executive-level dashboards—ensuring insights land with the right audience.
* Collaborate with scouts, analysts, and decision-makers in a high-performance environment where football knowledge and data science meet.
* Use modern data science tech (Python, SQL, machine learning, visualisation tools) to solve football-specific challenges like set-piece analysis, trend tracking, and player compatibility.
Qualifications
* 4+ years experience in a data science or data engineering position.
* Work directly with large-scale football datasets (event + tracking) to deliver tools that influence real-world decisions on scouting, recruitment, and match preparation.
* Build predictive and comparative models (player performance, tactical fit, clustering, classification) that shape squad planning and transfer strategies.
* Design and automate reporting pipelines—from in-depth analysis for analysts/coaches to executive-level dashboards—ensuring insights land with the right audience.
* Collaborate with scouts, analysts, and decision-makers in a high-performance environment where football knowledge and data science meet.
* Use modern data science tech (Python, SQL, machine learning, visualisation tools) to solve football-specific challenges like set-piece analysis, trend tracking, and player compatibility.
Position details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: Information Technology
* Industries: Spectator Sports, Sports Teams and Clubs, and Software Development
For consideration, please apply directly to this post or send your CV to lewis.dorling@exploreltd.com.
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