At bet365, 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 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak.

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 opportunities for growth, 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 customers worldwide.

As a Senior Data Scientist, you will develop probabilistic models that power real-time betting markets.

The Quantitative Analysis team designs, develops, and maintains sophisticated mathematical models to provide accurate pricing across our sports betting products.

Working with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment.

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.

• Proven track record of designing, developing, and deploying sophisticated predictive models.
• Degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
• Excellent understanding of statistical analysis and probability theory, with the ability to apply advanced techniques to complex, real-world problems.
• Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Excellent verbal and written communication skills for presenting complex data-driven insights to both technical and non-technical audiences.
• Strong understanding of a wide range of sports and the online gambling industry.
• Demonstrated ability to design and implement models that are highly accurate, computationally efficient and scalable for large-scale production environments.
• Experience mentoring junior colleagues, leading technical projects, and contributing to the success of a team.
• Experience with cloud computing environments.

• Applying creative and innovative thinking to solve complex problems that do not have prescriptive solutions.
• Conducting advanced analysis of large datasets to extract insights and inform decision-making in sports betting.
• Utilising statistical techniques and machine learning algorithms to develop predictive models and algorithms.
• Performing rigorous statistical validation of models against historical and live data.
• Collaborating with trading teams to incorporate domain expertise into mathematical models.
• Collaborating with Software Architects and developers to ensure alignment with technical solutions.
• Optimising model performance for both accuracy and computational efficiency.
• Researching and implementing novel approaches from academic literature and industry developments.
• Providing support to less experienced team members and carry out QA of work.
• Identifying and defining new opportunities for data-driven insights.

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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.