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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 while working with large, complex data sets.
- Qualifications: Degree in a data-driven field and experience with R/Python and SQL.
- Other info: Collaborate with a skilled team and learn new methodologies in a dynamic environment.
The predicted salary is between 36000 - 60000 £ 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 London employer: Aristocrat Leisure
Contact Detail:
Aristocrat Leisure Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees or alumni from your university who work in data science. A friendly chat can give you insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving player behaviour analysis or machine learning. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex data concepts in simple terms, as this is key for a Data Scientist role. Remember, it’s all about making your insights accessible!
✨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 Data Scientist in London
Some tips for your application 🫡
Show Your Data Passion: When writing your application, let us see your enthusiasm for data science! Share specific examples of how you've used data to solve problems or make decisions. We love seeing candidates who are genuinely excited about turning data into actionable insights.
Tailor Your Application: Make sure to customise your application to highlight the skills and experiences that align with our job description. Mention your experience with techniques like machine learning, causal inference, or data visualisation. We want to know how you can contribute to our team!
Keep It Clear and Concise: We appreciate clarity in communication, so keep your application straightforward. Avoid jargon unless it's relevant, and focus on making complex ideas easy to understand. Remember, we’re looking for someone who can communicate data clearly and effectively!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Aristocrat Leisure
✨Know Your Data Science Tools
Make sure you’re well-versed in the tools mentioned in the job description, like R, Python, and SQL. Brush up on your statistical techniques and be ready to discuss how you've used them in past projects. This shows you’re not just familiar with the theory but can apply it practically.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real business problems using data. Think of examples where you’ve turned complex data into actionable insights. Practise explaining your thought process clearly, as this will demonstrate your analytical skills and ability to communicate effectively.
✨Show Your Collaborative Spirit
Since the role involves working closely with stakeholders, be prepared to discuss how you’ve collaborated with others in the past. Highlight instances where you’ve listened to team members and adapted your approach based on their feedback. This will show you’re a team player who values input from others.
✨Demonstrate Your Learning Mindset
The job requires a willingness to learn new methodologies. Be ready to talk about any recent skills or techniques you’ve picked up, especially those related to data science or stakeholder management. This will convey your enthusiasm for growth and adaptability in a fast-paced environment.
