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- Tasks: Lead a team to create innovative data solutions for enhancing gameplay.
- Company: A leading game development company in Greater London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on gaming experiences while leading a talented team.
- Qualifications: 5+ years in data science with 2+ years in a leadership role.
- Other info: Collaborative environment with a focus on best practices in data science.
The predicted salary is between 48000 - 72000 £ per year.
A leading game development company in Greater London is seeking a Manager of Data Science to lead a team of data scientists and machine learning engineers. The role involves guiding the creation of innovative data solutions to enhance gameplay and user engagement.
The ideal candidate will have over 5 years of experience in data science, including 2 years in a leadership role. They will foster partnerships across the organization and ensure best practices in data science and software engineering.
This position requires hybrid work, with at least 3 days in the London office.
Head of Data Science, Games Tech in London employer: Product Madness ??
Contact Detail:
Product Madness ?? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Science, Games Tech in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the gaming industry and let them know you're on the hunt for a Head of Data Science role. You never know who might have the inside scoop on openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects, especially those that highlight your leadership in data science. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Ace the interview by doing your homework! Research the company’s games and their use of data science. Be ready to discuss how you can enhance gameplay and user engagement with innovative data solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it shows you’re serious about joining our awesome team!
We think you need these skills to ace Head of Data Science, Games Tech in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your relevant experience in data science, especially any leadership roles you've had. We want to see how your background aligns with the role of Head of Data Science, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your skills can enhance gameplay and user engagement, as that’s what we’re all about at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the position. We can’t wait to hear from you!
How to prepare for a job interview at Product Madness ??
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals and recent advancements in machine learning. Be ready to discuss specific projects you've worked on, especially those that involved innovative solutions in gaming or user engagement.
✨Show Your Leadership Skills
Since this role requires leadership experience, prepare examples of how you've successfully led a team. Think about challenges you've faced and how you fostered collaboration and innovation within your team.
✨Understand the Company’s Games
Familiarise yourself with the company’s games and their unique features. This will not only show your genuine interest but also help you suggest data-driven improvements during the interview.
✨Prepare for Hybrid Work Questions
As this position involves hybrid work, be ready to discuss how you manage remote teams and ensure productivity. Share strategies you've used to maintain communication and collaboration in a hybrid environment.