Data Scientist

ZipRecruiter; Royal Tunbridge Wells; Hybrid; GBP 50,000 - 65,000; Full time

Job summary

A growing company offering interactive games is seeking a Data Scientist to join their team in Royal Tunbridge Wells. This role involves analysing user data to enhance retention and operational performance. The ideal candidate will have a strong background in data analytics, with expertise in SQL and Python, as well as a collaborative spirit to drive business strategies.

Benefits

Opportunities for career development and growth

Supportive and dynamic team environment

Access to industry-leading tools and resources

Qualifications

• 2+ years in a similar analytics or data science role.
• Experience in gaming, betting, or consumer apps is a plus.
• Proven analytical mindset and detail-oriented approach.

Responsibilities

• Analyse player data to improve engagement and retention.
• Identify user segments and behavioural patterns.
• Collaborate with teams to implement data-driven insights.

Skills

SQL

Python

Data Visualisation

Statistical Analysis

Predictive Modelling

User Behaviour Analytics

A/B Testing

Education

Bachelor’s degree in a quantitative field

Master’s degree in a relevant field

Tools

Tableau

Power BI

Job description

Job 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:

• 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.

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!