Senior Data Scientist - Athlete Performance

You’ve built, maintained and monitored complex AI or ML models in a production environment at scale.

You have experience with model observability and managing data drift to ensure long-term performance.

You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes.

You have a background in biomechanical modeling and signal processing.

Real-time systems experience.

You’re comfortable working with models designed for low-latency environments.

The base salary range for this role is displayed below—

starting salaries will typically fall near the middle of this range.

We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices.

This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion.

Base Salary Range

£66,000 - £111,000 GBP

You’ll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensor, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams.

As a Senior Data Scientist, you’ll:

You’ll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data.

Your work will help us derive high-value metrics around human movement classification and physical load quantification , turning raw data into actionable insights for our users.

Deliver insights at scale.

You’ll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards.