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Data Scientist, Sports
Data Scientist – Sports Platform
About bet365
We are 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 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 wealth of growth opportunities, giving them the chance to make a real impact in the world of online gambling. As a forward-thinking company, we are breaking new ground in software innovation, redefining what’s possible for our global audience.
Our In-Play betting solutions have solidified our market-leading position, featuring over 1.38 million In-Play sporting events annually. With 750+ concurrent sporting fixtures at peak and more live sports streamed than any other operator in Europe (750,000 streams), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak traffic.
The Role
As a Data Scientist, you will:
- Develop probabilistic models that power real-time betting markets.
- Work within the Quantitative Analysis department, where data-driven insights enhance our betting products and services.
- Design, develop, and maintain sophisticated mathematical models to provide accurate pricing across our sports betting products.
- Collaborate with data, engineering, and trading teams to build smarter analytical solutions.
- Work in a fast-paced, delivery-focused environment that fosters technical growth and innovation.
- In-play betting decisions are informed by large-scale probabilistic models, allowing you to make an immediate impact.
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Key Responsibilities
- Conduct detailed in-depth analysis of granular datasets to extract actionable insights.
- Utilise statistical techniques and machine learning algorithms to develop predictive models for sports betting.
- Build innovative solutions to tackle unstructured, complex problems.
- Evaluate existing models and algorithms to identify areas for improvement.
- Diagnose and resolve data quality issues and bugs affecting core models.
- Perform rigorous statistical validation of models against historical and live data.
- Collaborate closely with trading teams, bringing domain expertise into model development.
- Optimise models for both accuracy and computational efficiency.
- Explore cutting-edge statistical approaches and industry innovations.
Eligibility & Requirements
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Qualifications:
- Bachelor’s degree in Mathematics, Data Science, Computer Science, or a related quantitative field.
- Experience in probabilistic modelling or predictive analytics is a plus.
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Industry Knowledge:
- Strong interest in sports or the online gambling industry.
- Understanding of real-time decision systems.
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- Technical Skills:
- Proven experience in building predictive models from complex datasets.
- Expertise in statistical analysis and probability theory applied to real-world scenarios.
- Strong proficiency in Python and R, including experience with machine learning frameworks such as scikit-learn, TensorFlow or PyTorch.
- Ability to optimise models efficiently in real-time environments.
- Experience handling and analysing large-scale datasets (e.g., terabytes-scales).
- Familiarity with cloud environments (e.g., AWS, GCP).
Additional Notes
- This role eligibly for hybrid working arrangements.
- Location: Bet365 Manchester Office.
Our Commitments
At bet365, we are committed to fostering an inclusive, respectful workplace, where everyone is valued for their unique strengths and background. We strive to be Never Ordinary and celebrate diversity in all forms.
If you require any adjustments or accommodations during the recruitment process (application or interview), please get in touch.
By applying to this position, you agree to share your personal data in accordance with our Recruitment Privacy Notice.
Department: Sports Platform Type: Full-Time Workplace: Hybrid Location: Manchester, UK
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