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- 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 through data.
- Qualifications: Degree in a data-driven field and experience with R/Python and SQL.
- Other info: Minimum 3 days in the vibrant 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 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 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 in landing that Games Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analyses and projects using R, Python, or SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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 seen. 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 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!
Engage with the Role: In your cover letter, let us know why you're excited about the Games Data Scientist position. Share any relevant projects or experiences that demonstrate your passion for gaming and data analysis.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background to our needs.
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’re considered for the role. Plus, it’s super easy!
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 Exploratory Data Analysis Questions
Expect questions on exploratory data analysis techniques. Be ready to walk through your thought process on how you would approach a new dataset. Highlight your analytical thinking and problem-solving skills to show you can tackle challenges head-on.
