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- Tasks: Transform business questions into actionable insights through data analysis and recommendations.
- Company: Join a leading gaming company with a focus on innovation and teamwork.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact on game success by analysing player behaviour and trends.
- Qualifications: Degree in a data-driven field and experience with R/Python and SQL.
- Other info: Collaborate with a skilled team and enjoy a dynamic work environment.
The predicted salary is between 28800 - 48000 £ per year.
As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc.
Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop.
- Discuss with stakeholders requirements for analysis
- Run exploratory data analysis and turn it into questions which can be answered with analytical techniques
- Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems
- Communicate results clearly and effectively
- Take care of unclear and ambiguous requirements
- Communicate complex ideas and analyses in a simple way
- Work independently on complex projects
- Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science
- Be able to use diverse data science tools and approaches
A degree or equivalent work experience in data driven field is required. Ability to use visualization techniques for communicating data and analysis is essential. Experience of using any of the following to answer business or scientific questions - statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. R/Python experience and knowledge and experience of SQL are also necessary. Ability to work a minimum of 3 days a week in our central London office is required.
Data Scientist in England employer: Aristocrat Leisure
Contact Detail:
Aristocrat Leisure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in England
✨Tip Number 1
Network like a pro! Reach out to current employees in the company or industry on LinkedIn. Ask them about their experiences and any tips they might have for landing a role as a Games Data Scientist.
✨Tip Number 2
Prepare for those interviews! Brush up on your data analysis techniques and be ready to discuss how you've used them in past projects. We want to see your thought process, so practice explaining complex ideas in simple terms.
✨Tip Number 3
Show off your skills! Create a portfolio showcasing your data visualisation projects or any machine learning models you've built. This is your chance to demonstrate your ability to turn data into actionable insights.
✨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, it shows you’re genuinely interested in joining our team of talented Games Data Scientists.
We think you need these skills to ace Data Scientist in England
Some tips for your application 🫡
Show Your Analytical Skills: When writing your application, make sure to highlight your experience with data analysis techniques. Mention any specific projects where you’ve used statistics, machine learning, or data visualisation to solve real business problems.
Communicate Clearly: We love clear communication! Use straightforward language to explain complex ideas in your application. This will show us that you can break down intricate analyses into digestible insights, just like you would in the role.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the skills and experiences mentioned in the job description. Show us how your background aligns with our needs for a Games Data Scientist.
Apply Through Our Website: Make sure to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Aristocrat Leisure
✨Know Your Data Science Tools
Make sure you’re well-versed in the tools and techniques mentioned in the job description, like R, Python, and SQL. Brush up on your knowledge of machine learning and statistical methods, as you might be asked to discuss how you've applied these in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that require you to think critically about data analysis scenarios. Practice explaining how you would approach a business problem using exploratory data analysis or causal inference. This shows your ability to turn complex data into actionable insights.
✨Communicate Clearly and Effectively
Since communication is key, practice summarising complex analyses in simple terms. You might be asked to explain your findings to non-technical stakeholders, so being able to convey your insights clearly will set you apart.
✨Show Your Willingness to Learn
Demonstrate your eagerness to acquire new skills and methodologies. Share examples of how you’ve adapted to new tools or techniques in the past, as this aligns with the company’s emphasis on continuous learning and development.
