Soccer Data Scientist II - Player Recruitment ML Models

Teamworks; United Kingdom; Remote; GBP 70,000 - 90,000; Full time

Job summary

Teamworks is hiring a Data Scientist II to develop statistical and ML models for professional soccer clubs. You will work with player tracking and event data to identify undervalued players, quantify skill, and support recruitment decisions.

Responsibilities include model validation, client-facing reporting, and collaboration with engineering to deploy models on cloud infrastructure, ensuring reliable production systems and clear communication of results.

Qualifications

• 3+ years of professional or research experience writing code in Python or R for data science, statistics, or ML work.
• Comfort with SQL for building and querying structured data.
• Strong data science fundamentals: understanding models and data needs.

Responsibilities

• Develop statistical and ML models to identify undervalued players and recruitment targets.
• Use player tracking data to build spatio-temporal models quantifying impact and skill.
• Build metrics and analyses for client decisions and tooling for model interpretation.
• Validate models and outputs with rigorous checks to ensure reliability.
• Write clear reports communicating technical work to clients.
• Partner with engineering to deploy models on cloud infrastructure and production systems.
• Review code from teammates and contribute ideas to advance the team's work.

Skills

Python

R

SQL

Sports data

Job description

Teamworks is hiring a Data Scientist II to develop statistical and ML models for professional soccer clubs. You will work with player tracking and event data to identify undervalued players, quantify skill, and support recruitment decisions.

Responsibilities include model validation, client-facing reporting, and collaboration with engineering to deploy models on cloud infrastructure, ensuring reliable production systems and clear communication of results.