Job Title
Data Analyst
Salary
£45k-£55k
Company Description
Series A AI and data science leader personalising the gambling industry
Job Description
Join a high-growth startup disrupting the gambling industry by leveraging AI to personalise player experiences. You will analyze product performance across global operators, design A/B tests, and prototype visualisations. This role offers the chance to work with massive datasets—processing 250 million bets daily—while directly influencing product strategy for market‑leading clients.
Location
London, UK
Why this role is remarkable
- Work at the forefront of AI in the gambling sector, utilising a platform that processes over 250 million bets daily and has analysed billions of game sessions.
- Join a fast‑scaling Series A company with a diverse, international team of 16 nationalities and a flexible, low‑bureaucracy culture that prioritises product impact.
- Gain massive exposure to industry giants such as Flutter and William Hill, acting as a key analytical consultant on high‑stakes product performance and optimisation projects.
What You Will Do
- Analyse the performance of AI product modules across multiple client installations, building repeatable analytics and identifying areas for methodology improvement.
- Design and propose A/B testing methods and statistical frameworks to measure the real‑world impact of personalisation features on player behaviour.
- Partner directly with Product Managers to present technical results and data‑driven insights to both internal stakeholders and external key gambling clients.
The ideal candidate
- Possesses 2-3 years of analytical experience, ideally within the gambling or gaming industry, with a strong foundation in mathematics, statistics, or computer science.
- Demonstrates technical proficiency in Python and SQL (or PySpark) to answer complex analytical questions and write clean, documented, reusable code.
- Exhibits strong communication skills with the ability to translate complex statistical findings into clear, persuasive presentations for both technical and non‑technical audiences.
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