Manchester, England, United Kingdom
Likely evergreen, first seen by us todayEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop probabilistic models that price real-time in-play betting markets
Oversee statistical validation of models against historical and live data
Collaborate with trading teams to fold domain expertise into models
Optimise models for accuracy and computational efficiency
Mentor less experienced team members and run quality assurance
spearhead the development of advanced probabilistic models that power real-time betting markets
Conducting and supervising rigorous statistical validation of models against historical and live data.
Collaborating with trading teams to incorporate domain expertise into mathematical models.
Optimising model performance for both accuracy and computational efficiency.
Mentoring less experienced team members, providing guidance, and conducting quality assurance
Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.
Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.
Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,
Proven ability to design and implement complex machine learning solutions and guiding best practice.
Deep understanding of statistical analysis and probability theory.
Experience with cloud computing environments for scalable solutions.
- Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives. - Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field. - Proven success in leading the design, development, and deployment of sophisticated predictive models.
Likely evergreenReposted 3 times since Aug 12, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 0
Early. Similar jobs usually come down between day 7 and day 56.
At Bet365 Group, jobs usually come down by about day 20.
From 10,198 similar postings that came down, and 55 of Bet365 Group’s. Coming down is not always a hire.
17 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Proven success in leading the design, development, and deployment of sophisticated predictive models. - Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, - Proven ability to design and implement complex machine learning solutions and guiding best practice.
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Yes. We’ve followed 5 other Lead Data Scientist, Sports jobs there since September 2026. 4 came down, usually after about 28 days. One is still up.
If this one keeps the same pace, it may come down around December 2.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
This role is eligible for inclusion in the Company's hybrid working policy.
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy
At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.
We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide.
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak.
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Manchester, England, United Kingdom
In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. This role is eligible for inclusion in the Company's hybrid working policy. Qualifications
No clear work-authorization passage found. Eligibility is unconfirmed.