Data Scientist, Player Growth & Engagement in London

Data Scientist, Player Growth & Engagement in London

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

At a Glance

  • Tasks: Create player-focused ML models to enhance engagement and monetisation strategies.
  • Company: Join Sony Interactive Entertainment, a leader in gaming innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with exciting projects and career advancement.
  • Why this job: Make a real impact on player experiences in the gaming world.
  • Qualifications: Experience in data science and a passion for gaming.

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

Sony Interactive Entertainment is seeking a Data Scientist to advance player-centric ML models and insights that guide engagement and monetisation strategies across our Play Station platform.

You will own end-to-end modelling, work with cross-functional teams, and communicate findings to stakeholders.

The role emphasizes ownership, scalable solutions, and interest in deep learning techniques within a gaming context.

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Data Scientist, Player Growth & Engagement in London employer: Sony Playstation

At Sony Interactive Entertainment, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and creativity. Located in the heart of London, our team enjoys a relaxed environment with ample opportunities for professional growth, collaboration across global teams, and the freedom to explore new ideas that enhance audio technologies for PlayStation. Join us to be part of a legacy of excellence where your contributions directly impact millions of gamers worldwide.

Sony Playstation

Contact Details:

Sony Playstation Recruitment Team

We think you need these skills to ace Data Scientist, Player Growth & Engagement in London

Machine Learning
Data Modelling
Player Engagement Strategies
Monetisation Strategies
Cross-Functional Collaboration
Communication Skills
Deep Learning Techniques