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Data Scientist, Sports
bet365 – Data Scientist (Sports Betting Platforms)
Company Description
We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we employ over 10,000 people and serve 120 million customers across 26 languages.
We empower our employees to push boundaries, fostering a culture that rewards creativity and progress. This environment offers unparalleled growth opportunities for those who want to shape the future of online gambling, redefine software innovation, and drive impact at scale.
As pioneers in In-Play betting, we dominate the market with:
- 1.38 million+ In-Play sporting events annually
- 750 Concurrent fixtures at peak capacity
- 750,000+ live sports streams in Europe—more than any other competitor
- 6 million+ HTTP requests per day
- 1.5 million bets processed hourly at peak
Job Description
As a Data Scientist in our Quantitative Analysis team, you’ll develop probabilistic models that underpin our real-time betting markets.
Our role drives data-driven innovation across sports betting, colocation with trading teams, and technical partnerships. In a fast-paced, high-impact environment, you’ll:
- Design, build, and scale mathematical models for accuracy, speed, and resilience
- Lead teams in data science, trading and product innovation
- Collaborate with cross-functional partners to create next-gen betting solutions
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This role is eligible for our hybrid working policy.
Responsibilities
Geospatial data interrogation, continuous model improvement strategies, and optimisation at scale:
- Extract insights from large datasets to inform betting strategy and product design
- Apply statistical techniques and ML algorithms to predict outcomes and price bets
- Develop innovative solutions for complex scenarios with domain expertise
- Evaluate and refine existing models to identify improvement areas
- Debug and resolve data quality issues affecting analysis or model performance
- Conduct rigorous statistical validation of models using historical/live datasets
- Partner with trading teams to integrate domain knowledge into modeling
- Optimise model performance for balance between accuracy and efficiency
- Research new techniques from academic/industry spaces to advance betting solutions
- Identify opportunities for actionable data insights beyond current products
Qualifications & Requirements
Essential Skills
- Bachelor’s degree in Mathematics, Data Science, Computer Science, or a related quantitative subject
- Passionate interest in sports and/or the online gambling landscape
- Proven experience building predictive models from data
- Strong foundational knowledge of:
- Statistical analysis
- Probability theory applied to real-world problems
- Proficiency in Python/R
- Adaptability to machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Capacity to optimise models for computational efficiency
- Data handling and analysis experience with large volumes
- Familiarity with cloud computing environments
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(Hybrid mobility: Primary office: UK – Manchester)
Commitment to Diversity & Inclusion
At bet365, we champion equality, diversity, and flexibility. We actively seek to influence positive change and create a workplace where everyone thrives regardless of background.
If you require adjustments or accommodations during recruitment, please reach out directly.
Job Details
- Role: Data Scientist (Sports Platforms)
- Department: Quantitative Analysis
- Work Arrangement: Hybrid
- Employment Type: Full-time, Permanent
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