Data Scientist
π° Data Scientist β iGaming / Gambling (Required Industry Experience)
π Location: UK (Hybrid / Remote)
π° Salary: Β£45,000 β Β£70,000 (DOE)
π Experience: 1β5 years (must include gambling/iGaming data experience)
π§ Overview
We are seeking a Data Scientist with prior experience working with gambling or iGaming data to join a growing analytics function. This role focuses on leveraging player, trading, and transactional datasets to drive commercial performance, risk management, and responsible gambling initiatives.
β οΈ Candidates must already have hands-on exposure to sportsbook, casino, or betting data environments, as domain understanding is essential to success in this position.
π Key Responsibilities
- Build predictive models using player and betting data
- Analyse player behaviour, retention, churn, and lifetime value (LTV)
- Support trading, pricing, and performance analytics
- Develop fraud detection and risk models
- Deliver insights to product, trading, and commercial teams
- Work with high-volume transactional and real-time datasets
- Design and analyse A/B tests and experiments
β Required Experience (Essential)
- π° 1β5 yearsβ Data Science / Analytics experience within gambling or iGaming
- Experience working with sportsbook, casino, or betting datasets
- π Strong Python (Pandas, NumPy, Scikit-learn)
- ποΈ Advanced SQL and large dataset querying
- π Statistical modelling & machine learning
- Player behaviour or betting analytics exposure
- π¬ Strong stakeholder communication skills
β Desirable Skills
- Odds modelling or trading analytics
- Responsible gambling / player risk analytics
- Fraud, AML, or transaction monitoring models
- βοΈ Cloud platforms (AWS, GCP, Azure)
- Experimentation & optimisation frameworks
βοΈ Typical Tech Stack
Python β’ SQL β’ Spark β’ AWS/GCP β’ Airflow β’ Tableau/Power BI β’ Git
π Why Join
- Work with large-scale behavioural datasets unique to iGaming
- Direct commercial impact on product & trading decisions
- Fast-moving, data-driven environment
- Clear progression into Senior Data Scientist roles
π― Ideal Candidate
A commercially minded data scientist who understands gambling datasets, player behaviour, and betting mechanics, and can apply statistical thinking within a live product environment.