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- Tasks: Transform gaming data into actionable insights and analyse player behaviour.
- Company: Leading gaming company in London with a focus on innovation.
- Benefits: Competitive salary, professional growth, and a chance to make an impact.
- 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, SQL.
- Other info: Collaborative environment with opportunities for significant career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading gaming company based in London is seeking a Games Data Scientist to turn business questions into actionable insights. The role involves analyzing player behavior, using diverse data science techniques, and clear communication of results.
Candidates should have:
- A degree in a data-driven field
- Experience with R/Python, SQL
- A strong understanding of statistical analysis
This role offers opportunities for significant impact and professional growth within an experienced team.
Games Data Scientist: Insights, Causal Modelling & Strategy in London employer: GamblingCareers.com
Contact Detail:
GamblingCareers.com Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Games Data Scientist: Insights, Causal Modelling & 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 dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to player behaviour. This will help us see your practical experience and how you can turn insights into action.
✨Tip Number 3
Prepare for interviews by brushing up on your R/Python and SQL skills. We want to see you in action, so practice explaining your thought process when tackling data problems.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Games Data Scientist: Insights, Causal Modelling & Strategy in London
Some tips for your application 🫡
Show Your Passion for Gaming: When you’re writing your application, let your love for gaming shine through! Mention any relevant experiences or projects that showcase your enthusiasm and understanding of player behaviour. We want to see how you connect with the industry!
Highlight Your Technical Skills: Make sure to clearly outline your experience with R, Python, and SQL in your application. We’re looking for someone who can dive into data analysis, so don’t hold back on showcasing your technical prowess and any cool projects you've worked on!
Communicate Clearly: Since this role involves sharing insights, it’s crucial to demonstrate your ability to communicate complex ideas simply. Use clear language in your application and provide examples of how you’ve effectively communicated data findings in the past.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us. Let’s get your journey started!
How to prepare for a job interview at GamblingCareers.com
✨Know Your Data Science 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. Being able to demonstrate your technical expertise will show that you're the right fit for the role.
✨Understand Player Behaviour
Research common player behaviours and trends in the gaming industry. Be prepared to discuss how you would analyse this data to derive actionable insights. Showing that you can connect data analysis to real-world gaming scenarios will impress the interviewers.
✨Communicate Clearly
Practice explaining complex data findings in simple terms. You might be asked to present your insights during the interview, so think about how you can make your results accessible to non-technical stakeholders. Clear communication is key in this role!
✨Prepare Questions
Have a few thoughtful questions ready about the company's data strategy and team dynamics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it opens up a dialogue that can make the interview feel more like a conversation.
