Football data scientist

Data scientist, football data analyst

Football data scientists build models from match event and tracking data to support recruitment, tactics and sports science decisions.

Average salary (a year)

£35,000£70,000

StarterExperienced

Starter £35,000 to experienced £70,000

Typical hours (a week)

37 to 40

You could work

occasional weekendson match days

How to become a football data scientist

You can get into this job through:

University

You can do a degree in a relevant subject.

You’ll usually need a degree, and often a master’s or PhD, in data science, statistics, mathematics, computer science, physics or a related subject.

Other routes

Many football data scientists move from other industries. Sharing football projects online, using public data sets, helps you stand out.

What it takes

Skills and knowledge

You’ll need:

  • programming in Python or R, and SQL
  • statistics and machine learning
  • the ability to explain results to coaches and executives
  • curiosity about football data such as expected goals and tracking

What you’ll do

Day-to-day tasks

In your day-to-day tasks you could:

  • build and test models, for example of player value or chance quality
  • clean and combine data from several providers
  • create dashboards and tools for staff
  • answer questions from recruitment, coaching and medical teams
  • keep up with new research

Working environment

You’ll work at a desk at the training ground, club offices or from home.

Career path and progression

You could become a lead data scientist or head of data, or work for data companies and governing bodies.

Current opportunities

3 live football data scientist jobs on Softfootball right now.

Search jobs

Get ready

Salaries and hours are typical figures for the UK and vary by club, league, location and experience. Last updated November 14, 2026.

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