Data Scientist – Gambling Sector
Location: London (Hybrid / Remote Options)
Salary: Competitive salary + Bonus + Benefits
Start Date: ASAP
About the Opportunity:
We are seeking a Data Scientist with 3–7 years of experience to join a fast-growing technology company operating in the gambling and gaming space.
This role is ideal for candidates who are either already experienced in the gambling sector or have a strong interest in applying data science within this industry. You’ll work on large, complex datasets to uncover behavioural patterns, build predictive models, and drive data-led strategies that directly influence product and business decisions.
What You’ll Be Doing:
- Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses
- Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment
- Applying statistical and ML techniques to identify insights from millions of behavioural data points
- Working closely with product and business teams to translate findings into actionable outcomes
- Measuring and improving platform and product performance through experimentation and analytics
What We’re Looking For:
- 3–7 years’ experience in a Data Scientist or applied analytics role
- Proficiency in SQL and strong programming skills (Python, R, or similar)
- Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis
- Ability to manage and deliver data projects independently as well as part of a team
- Strong communication skills for presenting technical insights to non-technical stakeholders
Desirable (Not Essential):
- Direct experience in the gambling / gaming industry
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Exposure to C# or other complementary programming languages
Benefits:
💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus
🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet)
🚀 Growth: Opportunity to shape projects in a high-impact, scaling business
⚡ Autonomy: Freedom to choose tools and approaches to solve problems
🤝 Culture: Collaborative, agile environment with minimal bureaucracy
