At a Glance
- Tasks: Build and validate models to predict churn and boost customer engagement.
- Company: Join PlayStation's innovative team in Greater London.
- Benefits: Enjoy hybrid work, private medical insurance, and on-site gym access.
- Why this job: Make a real impact in personalisation and customer engagement with cutting-edge data science.
- Qualifications: Master's degree in a technical field and strong skills in Python and SQL.
The predicted salary is between 50000 - 65000 € per year.
PlayStation is looking for a motivated Data Scientist to join the CLV & Next Best Action / Personalisation team in Greater London. The candidate will build and validate models to predict churn and enhance customer engagement using machine learning techniques.
The ideal applicant should possess a Master's degree in a technical field, strong analytical and predictive modelling skills, and proficiency in Python and SQL.
This role offers a hybrid work environment, private medical insurance, and other benefits including a gym on-site.
Data Scientist, CLV & Personalisation (Next Best Action) in London employer: PlayStation
PlayStation is an exceptional employer that fosters a dynamic and innovative work culture in Greater London, where creativity and collaboration thrive. Employees benefit from a hybrid work environment, comprehensive private medical insurance, and access to on-site gym facilities, all while having ample opportunities for professional growth and development in the rapidly evolving tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist, CLV & Personalisation (Next Best Action) in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at PlayStation on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving churn prediction or customer engagement. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data science interview questions and coding challenges in Python and SQL. We want to be ready to impress with our analytical skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match what PlayStation is looking for.
We think you need these skills to ace Data Scientist, CLV & Personalisation (Next Best Action) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience and skills, especially in machine learning, Python, and SQL. We want to see how your background aligns with the role of a Data Scientist in CLV & Personalisation.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to enhancing customer engagement at PlayStation. Let us know what excites you about this opportunity!
Showcase Your Projects:If you've worked on any projects related to predictive modelling or customer analytics, be sure to mention them. We love seeing practical examples of your work that demonstrate your analytical skills and creativity.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at PlayStation
✨Know Your Data Science Fundamentals
Brush up on your machine learning techniques and predictive modelling skills. Be ready to discuss how you've applied these in past projects, especially in relation to customer engagement and churn prediction.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or analyse a dataset on the spot, so practice coding challenges and be familiar with data manipulation techniques.
✨Understand PlayStation's Business Model
Research PlayStation’s approach to customer lifetime value (CLV) and personalisation. Knowing how they use data to enhance customer experiences will help you tailor your answers and show that you're genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects and challenges. This not only shows your enthusiasm but also helps you gauge if the company culture and work environment align with your expectations.
