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 Youll Get as the Data Scientist:
Base salary between £50 65k.
Hybrid working hours - 3 days in office
Opportunities for career development and growth.
A supportive, collaborative, and dynamic team environment.
Access to industry-leading tools and resources.
About Match Bingo: 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. Were a fast-growing team on a mission to deliver a fresh, social, and rewarding bingo experience for sports fans everywhere.
Role Overview:
Were looking for a Data Scientist whos passionate about using data to drive growth, player retention, and operational excellence. Youll play a key role in analysing user behaviour, optimising our games, and ensuring we provide a fair and engaging experience for all players.
How Youll Contribute as the Data Scientist :
Player Retention & Engagement:
Analyse player data to identify drop-off points and design actionable strategies to keep users coming back and playing more games.
Revenue Growth:
Use data-driven insights to increase average games played per month and overall revenues.
User Segmentation:
Identify and profile different user segments, uncovering behavioural patterns to inform tailored marketing and product strategies.
Fraud & Risk Detection:
Detect and flag suspicious behaviours, such as multiple account creation or abnormal winning patterns, to protect our community and business.
Onboarding & Payments:
Analyse and improve the signup and deposit funnels, reducing friction and boosting conversion rates.
Collaboration:
Work closely with the product, marketing, and engineering teams to turn insights into product features and campaigns.
Preferred Qualifications for the Data Scientist :
Bachelors degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Data Science, Engineering, or similar) is required.
Masters 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.
What Were Looking For:
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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