At a Glance
- Tasks: Develop ML models to drive player growth and customer insights.
- Company: Join Sony Interactive Entertainment, a leader in gaming innovation.
- Benefits: Enjoy competitive pay, flexible work options, and career development.
- Other info: Collaborative environment with opportunities to work on exciting projects.
- Why this job: Make an impact in the gaming industry with your data science skills.
- Qualifications: Experience in data science and strong analytical skills required.
The predicted salary is between 50000 - 70000 £ per year.
Sony Interactive Entertainment is seeking a data science professional to develop and deliver ML models for churn, propensity, segmentation, and customer lifetime value. You will translate business problems into modelling approaches and work with large-scale data to uncover insights and opportunities for player growth.
You will collaborate with engineering, product, and commercial teams to ensure robust, scalable solutions and communicate findings to both technical and non-technical audiences.
#J-18808-LjbffrForecasting Data Scientist - Player Growth & CLV 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.
Contact Details:
Sony Interactive Entertainment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Forecasting Data Scientist - Player Growth & CLV
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We think you need these skills to ace Forecasting Data Scientist - Player Growth & CLV
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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