Senior Data Scientist, Sports

🔒 Confidential Employer
Posted 21 April 2026
LOCATION
Manchester
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Predictive Modeling Statistical Analysis Probability Theory Python/R Machine Learning Data Analysis Communication Skills Sports Data

FULL DESCRIPTION

As a Senior Data Scientist, you will develop probabilistic models that power real-time betting markets. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment.

Preferred Skills and Experience

- 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.

What you will be doing

- 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.

Employee Perks

- Bonus - Eye care and Flu Vaccinations - Life Assurance - Matched pension contribution

Sign up free — access 45,000+ UK sponsor-licensed jobs