Lead Data Scientist, Sports

Bet365careers; Manchester; Hybrid; GBP 100,000 - 180,000; Full time

Benefits offered by this job

Hybrid working policy

Job summary

Bet365 is seeking a Lead Data Scientist to spearhead probabilistic modeling for real-time betting markets in a hybrid work setup. The role emphasizes building and validating sophisticated models to price sports bets and decisions using state-of-the-art ML techniques.

You will mentor juniors, collaborate with trading and software teams, and drive data-driven insights across large datasets to enhance betting products. A strong quantitative background and leadership experience are essential.

Qualifications

• Experience leading design and deployment of predictive models.
• Advanced degree in mathematics, data science, CS or related field.
• Strong Python/R and ML framework experience.
• Experience with cloud computing environments.
• Mentoring junior colleagues and leading technical projects.
• Solid grounding in statistics and probability theory.

Responsibilities

• Lead the development of probabilistic models for real-time betting markets.
• Oversee analysis of large datasets to derive actionable insights.
• Develop predictive models and algorithms using statistical techniques and ML.
• Validate models with historical and live data.
• Collaborate with trading teams to incorporate domain knowledge into models.
• Partner with software engineers to ensure alignment with technical solutions.
• Optimize model performance for accuracy and efficiency.
• Research new approaches from literature and industry.
• Provide guidance and QA to improve team performance.
• Identify new opportunities for data-driven insights.

Skills

Sports betting domain

Predictive modelling

Statistical analysis

Mentoring

Cloud computing

Education

Masters/PhD in quantitative field

Tools

Python

R

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 04/11/2026

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.

Hiring Statement

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.

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.