Jobster Royal Tunbridge Wells, England, United Kingdom
Data Scientist - Studentjob.co.uk
Jobster Royal Tunbridge Wells, England, United Kingdom
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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
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:
* 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. We’re a fast-growing team on a mission to deliver a fresh, social, and rewarding bingo experience for sports fans everywhere.
Role Overview:
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:
* 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:
* 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.
What We’re 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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Seniority level
* Seniority level
Entry level
Employment type
* Employment type
Part-time
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* Job function
Engineering and Information Technology
* Industries
Software Development
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