Lead Data Scientist, Sports

Bet365 Company; Stoke-on-Trent; Hybrid; GBP 90,000 - 150,000; Full time

Job summary

bet365 is seeking a Lead Data Scientist to spearhead advanced probabilistic models powering real-time betting markets. The role sits in the Quantitative Analysis department, focusing on pricing accuracy across sports betting products and leveraging ML techniques on large, evolving datasets.

You will mentor junior colleagues, lead project delivery, and collaborate with trading teams to translate domain knowledge into robust mathematical models.

Qualifications

• Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.
• Experience leading design, development and deployment of sophisticated predictive models.
• Expertise in Python/R and ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Deep understanding of statistical analysis and probability theory.
• Experience with cloud computing environments for scalable solutions.
• Track record of mentoring junior colleagues and leading technical projects.

Responsibilities

• Lead the development of advanced probabilistic models for real-time betting markets.
• Develop models to determine odds and in-play betting decisions using ML techniques.
• Collaborate with trading teams to integrate domain expertise into models.
• Mentor team members and oversee technical projects to ensure quality and impact.
• Research and implement novel approaches from academic and industry sources.

Skills

Probabilistic modelling

Sports betting knowledge

Python/R

ML frameworks

Statistical analysis

Cloud computing

Leadership/mentoring

Data science leadership

Education

Master's degree or PhD in Mathematics/Data Science/CS

Tools

scikit-learn

TensorFlow

PyTorch

Python

R

Job description

As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.

The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.

In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.

This role is eligible for inclusion in the Company's hybrid working policy.

Qualifications

• Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.
• Master’s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.
• Proven success in leading the design, development, and deployment of sophisticated predictive models.
• Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,
• Proven ability to design and implement complex machine learning solutions and guiding best practice.
• Deep understanding of statistical analysis and probability theory.
• Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.
• Track record of mentoring junior colleagues and successfully leading technical projects.
• Experience with cloud computing environments for scalable solutions.

Additional Information

• Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.
• Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.
• Developing predictive models and algorithms using statistical techniques and machine learning.
• Conducting and supervising rigorous statistical validation of models against historical and live data.
• Collaborating with trading teams to incorporate domain expertise into mathematical models.
• Partnering 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 advancements.
• Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.
• Identifying and defining new opportunities for data-driven insights.

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.