Geniussports

Open

Senior Data Science Manager

Location
London, England, United Kingdom
Posted
Jun 25, 2026
Last seen
Aug 7, 2026

About the role

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com.

The Role

You will lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.

How will you work?

Lead a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.

We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.

If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.

As a Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of algorithms to calculate the probabilities of sporting outcomes.

What skills do you have?

  • A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
  • Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems <span data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559685":720,"335559737"