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Data marketing scientist

Tunbridge Wells
Alethia Talent
Marketing
Posted: 24 June
Offer description

Data Scientist
Alethia Talent are proud to work in partnership with Match Bingo, who are a growing business that offers fun, interactive games for customers combining sports and bingo!! These fun games give customers a chance of winning money in either live games or previous games!! They are looking for a Data Scientist to join the team to help with all things to do with data!

What You’ll Get as the Data Scientist:

Hybrid working hours - 3 days in office
Opportunities for career development and growth.
Match Bingo is reinventing bingo by combining it with live sport to create an exciting, engaging game. Our unique bingo-based games bring the energy of live football matches to thousands of players every week, making every moment more fun and interactive. We’re a fast-growing team on a mission to deliver a fresh, social, and rewarding bingo experience for sports fans everywhere.

We’re looking for a Data Scientist who’s passionate about using data to drive growth, player retention, and operational excellence. You’ll play a key role in analysing user behaviour, optimising our games, and ensuring we provide a fair and engaging experience for all players.

How You’ll Contribute as the Data Scientist :
Analyse player data to identify drop-off points and design actionable strategies to keep users coming back and playing more games.
Use data-driven insights to increase average games played per month and overall revenues.
Fraud & Risk Detection:
Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business.
Preferred Qualifications for the Data Scientist :
Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required.
Master’s degree in a relevant field is a strong plus, especially with hands-on experience in gaming, betting, or consumer apps.
Equivalent professional experience (2+ years in a similar analytics or data science role) will also be considered in place of an advanced degree if you can demonstrate direct impact in similar environments.

Proven experience as a Data Scientist or in a similar analytics role (gaming, betting, or consumer apps is a big plus)
Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI)
Experience with statistical analysis, predictive modelling, and segmentation techniques
Understanding of user behaviour analytics, retention metrics, and A/B testing
Bonus: Experience with fraud detection or risk analytics
Strong attention to detail, analytical mindset, and a genuine passion for solving business problems with data
Excellent communication skills and the ability to turn data into actionable insights for non-technical stakeholders

If the role of a Data Scientist sounds like you, then get in touch straight away to discuss the role in more detail!

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