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About the Role
We are seeking a Data Scientist to join our Sports Betting vertical. You will develop predictive models to enhance our pre-match and in-play products and services for the sports betting industry.
Responsibilities
- Develop, train, and evaluate predictive models using machine learning and statistical techniques, focusing on probabilistic and Bayesian approaches.
- Contribute to the entire modelling lifecycle, including feature engineering, training, validation, and deployment.
- Query, clean, and explore datasets using Python and SQL to identify patterns and support model development.
- Leverage AI tools to enhance daily workflows.
- Apply rigorous model development practices, including version control, testing, and documentation.
Requirements
- Follow sports and understand the context of the data and markets.
- Possess a solid understanding of machine learning (supervised and unsupervised methods) and classical statistical techniques.
- Be comfortable working with probabilistic models, uncertainty estimation, and Bayesian inference.
- Understand the complete model training pipeline: data preparation, feature selection, model selection, and model validation.
- Have hands-on experience building and evaluating models in a data science or quantitative context.
- Be proficient in using Python and SQL for data exploration, feature development, and modeling workflows.
- Be able to clearly present findings to both technical and non-technical audiences.
- Demonstrate curiosity and a drive to understand the 'Why' behind data and customer behavior.
- Be collaborative, contributing to shared knowledge and code bases, and engaging with peers.
- Be committed to continuous development and staying updated with relevant advancements.
Skills
- Machine Learning
- Statistical Techniques
- Probabilistic Models
- Bayesian Inference
- Python
- SQL
- Feature Engineering
- Model Validation
- Version Control
- Testing
- Documentation
- Communication
- Monte Carlo Methods
- Probabilistic Simulation
- AI-Assisted Coding
Location
- London
Work Type
- Hybrid
- Full-time
Experience Level
- Hands-on experience building and evaluating models
Salary/Compensations
- Salary based on external benchmarking framework
- Eligibility for a bonus scheme
Benefits
- Private health insurance
- Occupational life cover
- Income protection insurance
- Personal days (including birthdays and health and wellness days)
- Claude Code Premium subscription
About the Company
- We are focused on the sports betting industry.
- We have a growing portfolio of pre-match and in-play products and services.
- We foster an AI-forward culture.