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- Tasks: Transform player data into actionable insights and collaborate with stakeholders.
- Company: Leading gaming technology company with a people-first culture.
- Benefits: Exciting career growth opportunities in Central London.
- Why this job: Combine your passion for gaming with data analysis to make a real impact.
- Qualifications: Experience in data analysis with skills in R, Python, and SQL.
- Other info: Join a dynamic team and shape the future of gaming.
The predicted salary is between 28800 - 48000 £ per year.
A leading gaming technology company is seeking a Games Data Scientist to transform business questions into actionable insights using advanced analytic techniques. This role involves thorough analysis of player behavior, effective communication of results, and collaboration with stakeholders.
The ideal candidate has a background in data analysis with knowledge of R, Python, and SQL. Emphasizing a people-first culture, this position is based in Central London with the possibility of impactful career growth.
Games Data Scientist: Turn Play into Strategy (London) employer: Aristocrat
Contact Detail:
Aristocrat Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Games Data Scientist: Turn Play into Strategy (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using R, Python, and SQL. We want to see how you turn data into insights, so make it visually appealing and easy to understand.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and player behaviour. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your thought process and findings.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Games Data Scientist: Turn Play into Strategy (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 experiences or projects that highlight your enthusiasm for the industry. We want to see how you turn play into strategy!
Highlight Your Technical Skills: Make sure to showcase your expertise in R, Python, and SQL clearly in your application. We’re looking for someone who can dive deep into data, so don’t hold back on detailing your experience with these tools!
Communicate Clearly: Effective communication is key in this role. Use your application to demonstrate how you can convey complex data insights in a straightforward way. We appreciate clarity and conciseness, so keep it engaging!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Let’s get started on this exciting journey together!
How to prepare for a job interview at Aristocrat
✨Know Your Data Tools
Make sure you brush up on your skills in R, Python, and SQL before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Understand Player Behaviour
Dive deep into player behaviour analytics. Familiarise yourself with common metrics and trends in gaming. Being able to discuss how you can transform player data into actionable insights will impress the interviewers.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. The ability to communicate results effectively is crucial, especially when collaborating with stakeholders who may not have a technical background.
✨Show Your People Skills
Since this role emphasises a people-first culture, be prepared to share examples of how you've successfully collaborated with teams in the past. Highlighting your interpersonal skills will demonstrate that you're a great fit for their work environment.
