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- Tasks: Drive player retention by developing data-driven models and implementing predictive systems.
- Company: Leading sports betting firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid working, medical insurance, and group bonus scheme.
- Why this job: Make a real impact on player engagement and long-term value in a dynamic industry.
- Qualifications: Strong proficiency in Python and SQL, with analytical problem-solving skills.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading sports betting firm in Greater London is hiring a Senior Data Scientist to drive player retention and long-term value by developing data-driven models. The successful candidate will collaborate with teams, transforming business challenges into analytical solutions and implementing predictive systems to enhance marketing and customer engagement.
The position requires strong proficiency in Python and SQL, and offers a competitive salary along with generous benefits including hybrid working, medical insurance, and a group bonus scheme.
Senior Data Scientist, Retention & Growth (ML & Experiments) employer: Entain
Contact Detail:
Entain Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Retention & Growth (ML & Experiments)
✨Tip Number 1
Network like a pro! Reach out to folks in the sports betting industry or data science circles. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data-driven models and experiments. This is your chance to demonstrate how you can transform business challenges into analytical solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects, especially in enhancing marketing and customer engagement.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Scientist, Retention & Growth (ML & Experiments)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your proficiency in Python and SQL right from the get-go. We want to see how your technical skills can drive player retention and growth, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific experiences where you've transformed business challenges into analytical solutions, as that’s what we’re all about at StudySmarter.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Entain
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages to solve real-world problems, especially in retention and growth contexts.
✨Understand the Business
Research the sports betting industry and the company’s position within it. Familiarise yourself with common challenges in player retention and think about how your analytical solutions can address these issues.
✨Prepare for Collaboration Questions
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve transformed business challenges into actionable insights.
✨Showcase Your Experimentation Mindset
Be ready to discuss any experiments or A/B tests you've conducted. Explain your approach to designing experiments, analysing results, and how those insights have driven marketing strategies or customer engagement improvements.
