Senior Data Scientist - Athlete Performance

Confirmed live in the last 24 hours

Hudl

Barcelona, Spain; London, United Kingdom

Remote

Posted April 1, 2026

Job Description

At Hudl, we build great teams. We hire the best of the best to ensure you’re working with people you can constantly learn from. You’re trusted to get your work done your way while testing the limits of what’s possible and what’s next. We work hard to provide a culture where everyone feels supported, and our employees feel it—their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces.

We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication; the influence of inspiring coaches; and the opportunities to reach new heights. That’s why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more.

Ready to join us?

Your Role

We’re hiring a Senior Data Scientist to join our Athlete Performance team in London. 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.

For this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona.

As a Senior Data Scientist, you’ll:

Create and improve algorithms. 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 build and deploy models that provide contextualized data to sports scientists, coaches and recruiters
Collaborate across teams. You’ll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards.
Lead high-impact projects. You’ll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl.

Must-Haves

Wearable and GPS expertise. You have extensive experience working with wearable devices, IMU sensors, GPS tracking and biometric data.
Strong mathematical background. You’re highly skilled in statistical operations and physics-based calculations used to analyze large datasets.
Proven track record. 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.
Product-focused. You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes.

Nice-to-Haves

Subject matter expertise. You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes.
Knowledge of foundational models. You have experience fine-tuning visual or large language models for new domains.
Real-time systems experience. You’re comfortable working with models designed for low-latency environments.
Advanced degree. A PhD in biometrics, mathematics or a related field is a plus.