Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Leverage machine learning and data analysis to enhance game development.
- Company: Leading video game company in Leeds with a creative culture.
- Benefits: Full-time role with opportunities for mentorship and skill enhancement.
- Why this job: Shape the future of gaming while working in a collaborative environment.
- Qualifications: Proficiency in SQL and Python, plus a passion for gaming.
- Other info: Join a team where your insights directly impact player experiences.
The predicted salary is between 36000 - 60000 £ per year.
A leading video game company based in Leeds seeks a passionate Data Scientist to join their team. This full-time role focuses on leveraging machine learning and data analysis to improve game development.
- Key responsibilities include designing analytical solutions, providing actionable insights, and mentoring junior team members.
- Candidates should have proficiency in SQL and Python, plus a strong passion for gaming.
Join a collaborative environment where creativity flourishes and your skills enhance player experiences.
Data Scientist, Game Analytics — Insights that Shape Games in London employer: Rockstar
Contact Detail:
Rockstar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Game Analytics — Insights that Shape Games in London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through gaming forums. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to gaming. This will help us stand out and demonstrate our passion for the industry.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and game analytics scenarios. We should also think of questions to ask them about their projects to show our genuine interest.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight our gaming passion and technical skills directly.
We think you need these skills to ace Data Scientist, Game Analytics — Insights that Shape Games in London
Some tips for your application 🫡
Show Your Passion for Gaming: When writing your application, let your love for gaming shine through! Share any personal projects or experiences that highlight your enthusiasm and how it connects to the role.
Highlight Relevant Skills: Make sure to emphasise your proficiency in SQL and Python. We want to see how you've used these skills in past projects or roles, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Scientist position. Show us why you’re the perfect fit!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Rockstar
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these tools to derive insights or solve problems, especially in a gaming context.
✨Show Your Passion for Gaming
This role is all about enhancing player experiences, so let your enthusiasm for gaming shine through. Share your favourite games and how data could improve them, showing that you understand both the industry and the audience.
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and data analysis. Practice explaining complex concepts in simple terms, as you may need to mentor junior team members and communicate insights effectively.
✨Emphasise Collaboration
Since this is a collaborative environment, be prepared to discuss how you've worked with others in the past. Highlight any experiences where you’ve contributed to team projects or mentored colleagues, showcasing your ability to thrive in a team setting.