Lead Data Scientist — Real-Time Sports Betting Models

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

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.