Senior Data Scientist - Real-Time Betting Analytics

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

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