Senior Data Science Manager England, United Kingdom
Listed on 2026-06-10
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist, Data Analyst
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
The RoleYou willleada team of data scientists developing the next generation of Genius Sports’ market leading sports models.
These modelsact as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across awiderange of sports.
Leada specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QAEngineersand a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
Weoperatein a squad model to allow focus on the business top priorities, allowing exposure across multiple products while stillmaintainingstrong ownership of your team’s domain.
If you are looking to tackle hard problems, collaborate withhigh calibreengineers 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,MScor PhD inData Science,Mathematics,Computer Science,Computational Statistics, Machine Learning orotherSTEMsubject
- Strong leadership skills with a proven track recordof successful delivery of high impactsolutionsto complex data science problems
- Mentoring and Staff Development
- Expertknowledgeof probability and statistics
- Expertise in a broad range ofdata science /machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)withaproventrack recordof delivering solutions to complex problems.
- Proficiency with Python or other scripting/programming languages (R,Matlab, etc)
- Abilitytobring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.
- Familiarity with sports rules and strategies(football, American football, basketball, tennis, ice hockey, baseball, etc.)
- Sports betting
- Machine Learning Operations (MLOps) covering the fulllife cyclefrom model creation, deployment (Gitlab, AWS, Docker) and retraining
- Rust, C++, other programming languages
- Real-time systems and/or high-performance computing
- Software System Design
- Software Development Lifecycle (SDLC)
- Curiosity and strong desireto learn and improve
- Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.
- Time management and asynchronous communication skills relevant for a geographically diverse engineering organization
- Enthusiasm and ability to work collaboratively within a team
- Excellent spoken and written English
- Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement
As well as a competitive salary and range of benefits,we’recommitted to supporting employee wellbeing and helping you grow your skills,experience and career. We’re committed to supporting employee wellbeing and helping you grow your skills,experience and career.
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture.
Let us know when you apply if you need any assistance during the recruiting process due to a disability.
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