Lead Data Scientist, Sports

Bet3651; Manchester; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working policy

Job summary

Bet365 is seeking a Lead Data Scientist to spearhead probabilistic models powering real-time betting markets. In the Quantitative Analysis department you will design, develop and maintain advanced mathematical models for accurate pricing across sports betting products, leveraging Python/R and ML frameworks in a hybrid work setting.

You will lead model development, validate against live data, mentor juniors, collaborate with trading and software teams, and explore novel approaches from academic

Qualifications

• Advanced degree in a quantitative field with strong modeling focus.
• Proven track record leading design and deployment of predictive models.
• Strong programming in Python/R and ML frameworks.
• Deep knowledge of statistics and probability theory.
• Experience building scalable models for production.

Responsibilities

• Lead development and deployment of innovative data solutions for complex challenges.
• Oversee large-scale data analysis to derive actionable insights.
• Develop predictive models and algorithms using statistical techniques and ML.
• Validate models rigorously against historical and live data.
• Collaborate with trading teams to incorporate domain expertise.
• Mentor junior colleagues and guide technical projects.
• Ensure model performance and computational efficiency.

Skills

Sports betting domain

Probabilistic modelling

Python

R

Machine learning

Statistics

Cloud computing

Mentoring

Education

Master's or PhD in quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

AWS / GCP

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.

Requirements

• 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.

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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.