Data Scientist New London, England, United Kingdom

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.

The Role

You will join 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 wider range of sports.

How will you work?

Join a specially formed, highly skilled team delivering an innovative & intelligent product! Part of a multi‑disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers, and a Product Manager, you will work closely adhering to principles of continuous delivery and empowered, high‑performing teams. We operate in a squad model to focus on the business top priorities, allowing exposure across multiple products while 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.

Responsibilities

As a Data Scientist DS3, you and your team will play a major role in developing and implementing predictive models across all major sporting codes. You will prototype, implement, evaluate, and optimize algorithms to calculate probabilities of sporting outcomes.

Required Skills

• A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
• A strong understanding of probability and statistics fundamentals
• Proficiency with Python or other scripting/programming languages (R, Matlab, etc.)
• Experience with data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.)
• Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements.

Preferred Knowledge

• Sports rules and strategies
• Sports betting
• Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (GitLab, AWS, Docker) and retraining
• Rust, C++, other programming languages
• Real‑time systems and/or high‑performance computing

What we expect from our co‑workers

• Curiosity and strong desire to learn and improve.
• Social skills, being able to act as a facilitator, balancing 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.

Benefits

As well as a competitive salary and range of benefits, we are committed to supporting employee wellbeing and helping you grow your skills, experience, and career.

Inclusive Work Environment

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Global D&I Demographics

At Genius Sports we believe in better together, which means we don’t only value diversity, but we are determined to make sure that everyone here feels included and valued. We invite all applicants to share their demographic background. If you choose to complete this survey, your responses may be used to identify areas of improvement in our hiring process. All data that you provide will be completely anonymous, you will not be personally identifiable by your data. This also means that if you choose to disclose a disability the Talent Acquisition team will not be able to identify you personally to assist with any measures that might help during the process. Therefore, if you require any support throughout the application or interview process please ensure to reach out to the team directly and make them aware of any requirements, and we will do what we can to help.