Senior Data Scientist, Sports

bet365
Stoke-on-Trent
1 month ago
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Overview

This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board.

Company Description

bet365 is a leading online gambling company with a global presence. Founded in 2000, it employs over 9,000 people and serves over 100 million customers in 27 languages. The company focuses on In-Play betting and offers an experience across 96 sports with extensive live content and high-volume activity.

We empower our employees to push boundaries and explore new ideas, cultivating a culture that rewards creativity and growth. bet365 is committed to software innovation and redefining what is possible for customers worldwide.

Role

Senior Data Scientist

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. You will work with extensive sports datasets to develop models that determine odds and power in-play betting decisions, applying state-of-the-art machine learning techniques in a fast-paced, dynamic environment. The role offers significant opportunities for technical growth and innovation and is eligible for inclusion in the Company\'s hybrid working policy.

Qualifications
  • 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.
Responsibilities
  • Apply probabilistic modelling to power real-time betting markets.
  • Design, develop, and maintain mathematical models for pricing across sports betting products.
  • Leverage large sports datasets to inform model development and betting decisions.
  • Apply machine learning techniques in a fast-paced environment and collaborate with cross-functional teams.
  • Contribute to technical growth, innovation, and quality of work.
Additional Information
  • Applying creative and innovative thinking to solve complex problems without prescriptive solutions.
  • Conducting advanced analysis of large datasets to extract insights for 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 accuracy and computational efficiency.
  • Researching and implementing novel approaches from academic literature and industry developments.
  • Providing support to less experienced team members and carrying out QA of work.
  • Identifying and defining new opportunities for data-driven insights.

By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - no external link is included here to maintain plain text formatting.

At bet365, we are committed to creating an environment where everyone feels welcome, respected and valued. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please reach out.


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