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- Tasks: Join us as a Data Scientist to analyse user behaviour and optimise our exciting games.
- Company: Match Bingo is revolutionising bingo by merging it with live sports for an engaging experience.
- Benefits: Enjoy a competitive salary, hybrid working, career growth, and access to top-notch tools.
- Why this job: Be part of a dynamic team driving player engagement and revenue growth in a fun environment.
- Qualifications: Bachelor's degree in a quantitative field; 2+ years in analytics or data science preferred.
- Other info: Experience in gaming or betting is a plus; strong SQL, Python, or R skills required.
The predicted salary is between 40000 - 52000 £ per year.
A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible. 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!
Data Scientist employer: Alethia Talent
Contact Detail:
Alethia Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the gaming and betting industry, especially how data science is applied in these sectors. Understanding the unique challenges and opportunities in this field will help you stand out during discussions.
✨Tip Number 2
Brush up on your SQL, Python, or R skills, as well as data visualisation tools like Tableau or Power BI. Being able to demonstrate your technical proficiency in these areas can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific examples of how you've used data to drive player engagement or revenue growth in previous roles. Real-world applications of your skills will resonate well with the hiring team.
✨Tip Number 4
Network with professionals in the gaming and data science fields. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, making your application more noticeable.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role. Emphasise your proficiency in SQL, Python or R, and any experience with data visualisation tools like Tableau or Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how it can drive growth and player engagement at Match Bingo. Mention specific examples of how you've used data to solve problems in previous roles.
Highlight Relevant Projects: Include any projects or case studies in your application that demonstrate your analytical skills, especially those related to user behaviour analytics, retention metrics, or fraud detection. This will help you stand out from other candidates.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Scientist.
How to prepare for a job interview at Alethia Talent
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL, Python or R, and any data visualisation tools you’ve used. Be prepared to discuss specific projects where you applied these skills, especially in gaming or consumer apps.
✨Demonstrate Your Analytical Mindset
Prepare examples of how you've used data to drive decisions in previous roles. Discuss your experience with statistical analysis, predictive modelling, and user behaviour analytics to show your capability in solving business problems.
✨Understand the Company’s Mission
Familiarise yourself with Match Bingo's unique approach to combining bingo with live sports. Be ready to discuss how your skills can contribute to their mission of enhancing player engagement and retention.
✨Prepare for Behavioural Questions
Expect questions about teamwork and collaboration, as you'll be working closely with product, marketing, and engineering teams. Think of examples that showcase your communication skills and ability to turn insights into actionable strategies.
