Data Scientist – Player Growth & Value Modelling in London

Data Scientist – Player Growth & Value Modelling in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
Sony Interactive Entertainment

At a Glance

  • Tasks: Own and deliver ML models to enhance player engagement and value.
  • Company: Join Sony Interactive Entertainment, a leader in gaming innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on creativity and innovation.
  • Why this job: Make a real impact on player experiences using advanced data science techniques.
  • Qualifications: Experience in data science and machine learning, with strong analytical skills.

The predicted salary is between 50000 - 70000 Β£ per year.

Sony Interactive Entertainment is seeking a Data Scientist in London to own and deliver ML models that drive engagement and value for players.

You will work on churn, propensity, and CLV use cases, translating business needs into scalable modelling solutions.

You will partner with engineering, product, and finance teams, applying advanced ML methods and handling large datasets to generate actionable insights and impact across the player lifecycle.

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Data Scientist – Player Growth & Value Modelling in London employer: Sony Interactive Entertainment

Sony Interactive Entertainment is an exceptional employer, offering a vibrant work culture that fosters creativity and collaboration in the heart of London. Employees benefit from competitive compensation, flexible hybrid working arrangements, and ample opportunities for professional growth within a leading global brand. Join us to make a meaningful impact in a dynamic environment where your contributions are valued and recognised.

Sony Interactive Entertainment

Contact Details:

Sony Interactive Entertainment Recruitment Team

We think you need these skills to ace Data Scientist – Player Growth & Value Modelling in London

Python
Communication Skills
SQL
Problem-Solving Skills
Automation
Data Engineering
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