For hiring teams
You need a Sports Data Scientist.
Tell us about the role, the team you're building, the model work that matters. We'll come back with how we can help.
Roles we hire
Sports Data Scientist Recruitment, End-to-End.
Specialist hiring for data scientists working inside sport - building the models that change how teams scout, train and decide. We hire the rare ones who can ship technically and earn trust in a dressing room.
The role
What a Sports Data Scientist Actually Does.
The job has stopped being about producing a deck for the manager once a month. Sports Data Scientists today sit inside performance, recruitment, opposition analysis, training-load and even broadcast workflows - building probabilistic models that drive day-to-day decisions.
Typical work spans expected-goals and expected-points models, scouting recommendation engines, injury-risk modelling, opposition pattern detection and increasingly, embedding-based search over event and tracking data.
The technical bar has risen sharply in five years. Anyone we shortlist can build and ship a real ML system, work cleanly with messy event and tracking data, and explain what they did to a non-technical audience.
What we look for
Technical Depth, Sports Literacy, Communication.
We assess every candidate against three pillars. Strong on all three is rare - and is the only thing we hire for.
Technical depth
- Python (pandas, polars, scikit-learn, PyTorch / JAX where relevant)
- Bayesian modelling, GLMs, time-series, embedding spaces
- Working comfortably with event data, tracking data and GPS streams
- SQL fluency on production-scale data warehouses
- Familiarity with versioned data, experiment tracking, model deployment
Sports literacy
- Genuine domain familiarity with the relevant sport
- Ability to interrogate a model the way a coach would
- Comfort presenting to performance staff, recruitment teams or executives
- Past collaboration with analysts, sport scientists or coaches
Communication & culture
- Plain-English explanations of complex modelling decisions
- Strong written work - most insights land in a doc, not a notebook
- Comfort being wrong publicly and revising in front of stakeholders
The market
Demand Outpaces Supply. By a Lot.
Sports Data Scientist hiring has accelerated faster than the talent market has matured. Every front office, every SportsTech vendor and every governing body is recruiting against the same small candidate pool.
Compensation has moved up accordingly - particularly in the NBA and NFL, with European football catching up - and the strongest candidates rarely reach an open market.
When you brief Animo, you're tapping into a network we've spent years building. The people we'll show you are usually not on any active job board.
Next step
Hiring or Hireable?
For candidates
You are a Sports Data Scientist.
If you're a data scientist working in or thinking about sport - get in touch. No pressure, no spam, just a conversation about the market.
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