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Data Scientist, Sports
Data Scientist – Quantitative Analysis (Sports Betting Models)
Develop probabilistic models that power real-time betting markets within bet365’s Quantitative Analysis department. Your work will enhance our betting products by designing, building, and maintaining advanced mathematical models to deliver accurate pricing across sports betting.
The team operates in a fast-paced, delivery-focused environment, offering strong opportunities to grow technically and innovate.
This role is eligible for inclusion in the Company’s hybrid working policy.
Qualifications
- A Bachelor’s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
- A keen interest in sports and/or the online gambling industry.
- Demonstrable experience in building predictive models from data.
- Expertise in statistical analysis and probability theory, applied to real-world problems.
- Strong proficiency in Python/R, with experience in ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Ability to optimise models for both accuracy and computational efficiency.
- Experience handling and analysing large datasets.
- Familiarity with cloud computing environments.
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Key Responsibilities
- Conduct in-depth analysis of large datasets to extract insights for sports betting decisions.
- Apply statistical techniques and machine learning algorithms to develop predictive models for odds and in-play betting.
- Devise innovative solutions for complex, unstructured problems.
- Assess and improve existing models, identifying bugs or gaps in data quality.
- Perform rigorous statistical validation of models against historical and live data.
- Collaborate with trading teams to incorporate domain expertise into mathematical models.
- Optimise model performance for accuracy and computational efficiency.
- Stay updated with research from academic literature and industry developments.
- Identify new opportunities for data-driven insights in sports betting.
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