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Senior Data Science Manager

Geniussports

placeLondon home_workHybrid labelTechnology publicAggregated job · GB

eventPublished on Aug 18, 2026 · verifiedWe confirmed on Aug 18, 2026 that it's still live

About the job

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

Mentoring and

Staff

Development

Expert

knowledge

of probability and statistics

Expertise

in a broad range of

data science /

machine learning algorithms (Monte Carlo simulation, neural

networks, logistic regression, random forest, etc.)

with

a

proven

track record

of delivering solutions to complex problems.

Proficiency

with Python or other scripting/programming languages (R,

Matlab, etc)

Ability

to

bring 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.)

It is

advantageous

for you to have knowledge of the following:

Sports betting

Machine Learning Operations (MLOps) covering the full

life cycle

from model creation, deployment (Gitlab, AWS, Docker) and retraining

Data engineering

Rust, C++, other programming languages

Real-time systems and/or high-performance computing

Software System Design

Software Development Lifecycle (SDLC)

What we expect from our co-workers

Curiosity and

strong desire

to 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

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate,

connect

and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be

required.

As well as a competitive salary and range of benefits,

we’re

committed to supporting employee wellbeing and helping you grow your skills,

experience

and career. Learn more about how rewarding life at Genius can be at

Reward | Genius Sports.

One team, being brave, driving change

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 at

Culture | Genius Sports.

Let us know when you apply if you need any

assistance

during the recruiting process due to a disability.

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