Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse player behaviour and turn data into winning strategies.
- Company: Leading gaming company with a passion for innovation.
- Benefits: Competitive salary, flexible working, and opportunities for growth.
- Why this job: Join a dynamic team and shape the future of gaming with your insights.
- Qualifications: Degree in a data-driven field and experience with R/Python and SQL.
- Other info: Minimum 3 days in the vibrant central London office.
The predicted salary is between 36000 - 60000 £ per year.
A leading gaming company is seeking a Games Data Scientist to analyze player behavior and provide actionable insights. The role involves engaging with stakeholders, conducting exploratory data analyses, and using advanced statistical and machine learning techniques.
The ideal candidate will have a degree in a data-driven field and experience with R/Python and SQL. This position requires a minimum of 3 days in the central London office.
Games Data Scientist: Turn Player Data into Strategy in City of London employer: Aristocrat Leisure
Contact Detail:
Aristocrat Leisure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Games Data Scientist: Turn Player Data into Strategy in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the gaming industry on LinkedIn or at events. We can’t stress enough how valuable personal connections can be when it comes to landing that Games Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses, especially any projects related to player behaviour. This will give you an edge and demonstrate your expertise in R/Python and SQL.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and machine learning techniques. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
✨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 Games Data Scientist: Turn Player Data into Strategy in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with R, Python, and SQL in your application. We want to see how you've used these tools to turn data into insights, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, especially when it comes to analysing player behaviour and engaging with stakeholders.
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: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at Aristocrat Leisure
✨Know Your Data Tools
Make sure you're well-versed in R, Python, and SQL. Brush up on your coding skills and be ready to discuss how you've used these tools in past projects. It’s a great way to show you can turn player data into actionable insights.
✨Understand Player Behaviour
Dive deep into the gaming industry and understand player behaviour trends. Be prepared to discuss how you would analyse this data to inform strategy. Showing that you can connect data analysis with real-world gaming scenarios will impress the interviewers.
✨Engage with Stakeholders
Think about how you would communicate your findings to non-technical stakeholders. Practice explaining complex data concepts in simple terms. This will demonstrate your ability to bridge the gap between data science and business strategy.
✨Prepare for Technical Questions
Expect technical questions related to statistical methods and machine learning techniques. Review common algorithms and be ready to explain their applications in gaming. This shows you’re not just a data cruncher but someone who understands the bigger picture.
