Lead Data Scientist, Sports

bet365 Group; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Eye care and Flu Vaccinations

Life Assurance

Job summary

bet365 Group seeks a Lead Data Scientist to spearhead probabilistic models powering real-time betting markets in Manchester. You will build advanced pricing models for sports products and in-play decisions using state-of-the-art ML techniques.

The role offers hybrid working within the Quantitative Analysis team, with opportunities to influence pricing, risk and product strategy while mentoring teammates.

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.

Responsibilities

• 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.

Skills

Python

R

ML frameworks

Stat/Probability

Cloud computing

Mentoring

Education

Master’s or PhD in Mathematics/Data Science/CS

Tools

scikit-learn

TensorFlow

PyTorch

Job description

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

Full-time

Closes 09/09/2026

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.

Preferred Skills and Experience

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.

What you will be doing

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.

Bonus

Eye care and Flu Vaccinations

Life Assurance

Life at bet365

We are a unique global operator with passion and drive to be the best in the industry. Our values form the foundation of culture and shape the unique way that we work. People are our superpower and we support you to be the best you can be.