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- Tasks: Develop predictive models and analyse large datasets to optimise user acquisition strategies.
- Company: Global gaming company in Greater London, a leader in game development.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact on user acquisition in the gaming industry.
- Qualifications: Strong analytical skills and experience with Python, SQL, and cloud platforms like AWS.
- Other info: Collaborative environment with a focus on innovation and analytics enhancement.
The predicted salary is between 36000 - 60000 £ per year.
A global gaming company in Greater London is seeking a motivated Data Scientist to drive effective user acquisition strategies. In this mid-senior level role, you will develop predictive models, analyze large datasets using Python and SQL, and collaborate with a skilled team to optimize UA investments.
Strong analytical skills and experience with cloud platforms like AWS and Databricks are essential. Join a leader in game development and help enhance their analytics capabilities.
Predictive Data Scientist for UA & pLTV Analytics in London employer: Miniclip
Contact Detail:
Miniclip Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Predictive Data Scientist for UA & pLTV Analytics in London
✨Tip Number 1
Network like a pro! Reach out to folks in the gaming industry on LinkedIn or at local meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data analyses. Use platforms like GitHub to share your projects, especially those using Python and SQL.
✨Tip Number 3
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with cloud platforms like AWS and Databricks, as well as your approach to user acquisition strategies.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and engaged. Plus, it gives you a better chance to stand out in the application process.
We think you need these skills to ace Predictive Data Scientist for UA & pLTV Analytics in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your analytical skills and experience with Python, SQL, and cloud platforms like AWS and Databricks. We want to see how you can drive user acquisition strategies through your expertise!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Predictive Data Scientist role. We love seeing how you connect your experience to what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 this exciting opportunity in our gaming company!
How to prepare for a job interview at Miniclip
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse large datasets, as this will show your practical experience and problem-solving abilities.
✨Showcase Your Predictive Modelling Skills
Prepare to talk about your experience with developing predictive models. Think of examples where your models have directly influenced user acquisition strategies or improved pLTV analytics. This will demonstrate your ability to drive effective strategies in a gaming context.
✨Familiarise Yourself with Cloud Platforms
Since experience with AWS and Databricks is essential, make sure you can discuss how you've used these platforms in your previous roles. Highlight any specific projects or challenges you faced and how you overcame them using these technologies.
✨Collaborative Mindset
This role involves working with a skilled team, so be prepared to discuss your collaborative experiences. Share examples of how you've worked with others to optimise investments or improve analytics capabilities, showcasing your teamwork and communication skills.
