Football Analytics R&D Data Scientist (Hybrid)

The FA

England

Hybrid

GBP 65,000 - 90,000

Full time

14 days+
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Benefits offered by this job

Event tickets
Free lunches
Private medical cover
Pension scheme
25 days annual leave
Hybrid working

Job summary

The FA is seeking a Research & Development Data Scientist to design and build world‑leading statistical and ML models for England teams. You will model diverse football data and deliver data‑driven insights to stakeholders.

Ideal candidates hold a Master’s in a quantitative field with Python expertise, and are ready to work at St. George’s Park or within the FA’s hybrid framework. DBS checks apply as part of safeguarding.

Qualifications

  • Master's degree in a highly quantitative field (math/statistics/CS). A PhD is desirable but not essential.
  • Strong theoretical grounding in statistics and ML with ability to engage with methodology behind advanced data science techniques.
  • Ability to critically evaluate contemporary academic literature.
  • Practical data science experience with real-world data; football datasets desirable but not essential.
  • Proficiency in Python for statistical modelling.
  • Ability to be physically present at St. George's Park.
  • Excellent written and verbal communication skills.

Responsibilities

  • Design and implement world-leading statistical and ML models on football datasets (event, tracking, GPS/performance).
  • Experiment with diverse approaches on long-term projects to deliver novel solutions.
  • Research emerging methods in statistics, ML/AI, and adjacent fields for football modelling.
  • Utilise AI coding agents and tooling to accelerate development.
  • Maintain statistical rigour with validated findings for stakeholders.

Skills

Python
Statistics
Machine Learning
Communication
Literature review

Education

Master's degree in quantitative field
PhD desirable

Tools

Google Cloud Platform
GitHub
React

Job description

The FA is seeking a Research & Development Data Scientist to design and build world‑leading statistical and ML models for England teams. You will model diverse football data and deliver data‑driven insights to stakeholders.

Ideal candidates hold a Master’s in a quantitative field with Python expertise, and are ready to work at St. George’s Park or within the FA’s hybrid framework. DBS checks apply as part of safeguarding.

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