Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data science projects to enhance gaming experiences and player engagement.
- Company: Product Madness, a leading gaming company in Greater London.
- Benefits: No travel required, collaborative environment, and opportunities for professional growth.
- Why this job: Make a real impact on gaming through innovative data science initiatives.
- Qualifications: PhD or MSc with 5+ years of data science experience and strong SQL, Python skills.
The predicted salary is between 70000 - 90000 £ per year.
Product Madness in Greater London is seeking a Principal Data Scientist to lead high-impact data science initiatives that improve gameplay and player engagement. The role requires a PhD or MSc and over 5 years of data science experience, including deploying machine learning products.
Ideal candidates will have strong skills in SQL, Python, and familiarity with big data technologies. This position does not require travel and offers significant opportunities for collaboration across teams.
Lead Data Scientist - Gaming AI and Experimentation in London employer: Product Madness ??
Contact Detail:
Product Madness ?? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Gaming AI and Experimentation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming and data science communities. Join relevant forums, attend meetups, or even slide into LinkedIn DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to gaming AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Practice common data science problems and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Lead Data Scientist - Gaming AI and Experimentation in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL, Python, and any big data technologies you've worked with. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience in gaming AI and how you’ve led data science initiatives before. It’ll make your application stand out!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re the perfect fit!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Product Madness ??
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your past projects, especially those involving machine learning. They’ll want to see how you’ve deployed these products in real-world scenarios.
✨Show Off Your Collaboration Skills
Since this role involves working across teams, be prepared to talk about your experience collaborating with others. Share specific examples of how you’ve worked with different departments to achieve a common goal, especially in gaming or player engagement contexts.
✨Prepare for Technical Questions
Expect some technical questions that test your knowledge of big data technologies. Brush up on the latest trends and tools in the industry, and be ready to explain how you’ve used them in your previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about their current data science initiatives or how they measure player engagement. This shows your genuine interest in the role and helps you understand if it’s the right fit for you.