Senior Data Scientist - Real-Time Sports Odds Modeling

bet365; Stoke-on-Trent; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

bet365 is seeking a Lead Data Scientist to spearhead the development of advanced models for real-time betting markets. This role involves leveraging extensive datasets, implementing machine learning techniques, and leading projects that enhance betting products. The ideal candidate holds a Master’s or PhD in a quantitative field and has proven success in developing predictive models, along with expertise in Python and ML frameworks. The position allows for hybrid work, encouraging a culture of inclusivity and respect.

Qualifications

• Ability to develop impactful models aligned with business objectives.
• Demonstrable experience overseeing implementation of efficient models.
• Track record of leading technical projects.

Responsibilities

• Spearhead development of probabilistic models for betting markets.
• Oversee analysis of large datasets to derive actionable insights.
• Collaborate with trading teams to enhance mathematical models.

Skills

Deep understanding of statistical analysis and probability theory

Expertise in Python/R and ML frameworks

Ability to leverage knowledge of sports and online gambling

Proven ability to implement complex machine learning solutions

Proven success in leading predictive models development

Experience with cloud computing environments

Mentoring junior colleagues

Education

Master’s degree or PhD in Mathematics, Data Science, Computer Science

Tools

scikit-learn

TensorFlow

PyTorch

Job description

bet365 is seeking a Lead Data Scientist to spearhead the development of advanced models for real-time betting markets. This role involves leveraging extensive datasets, implementing machine learning techniques, and leading projects that enhance betting products. The ideal candidate holds a Master’s or PhD in a quantitative field and has proven success in developing predictive models, along with expertise in Python and ML frameworks. The position allows for hybrid work, encouraging a culture of inclusivity and respect.