Forecasting Data Scientist - Player Growth & CLV

Sony Interactive Entertainment; Greater London; On-site; GBP 65,000 - 105,000; Full time

Benefits offered by this job

Discretionary bonus

Private Medical Insurance

Dental Scheme

25 days holiday

On Site Gym

Subsidised Café

Free soft drinks

On site bar

Cycle garage and showers

Job summary

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.

Qualifications

• Experience building predictive models (e.g. churn, propensity, segmentation, or value modelling) in a commercial setting.
• Ability to independently take a problem from definition through to solution and delivery, demonstrating initiative and ownership.
• Proficiency in Python and SQL, and familiarity with common data science and ML libraries.
• Solid understanding of machine learning techniques (e.g. regression, tree-based models, clustering) and when to apply them, including how to refine and tune them for real-world problems.
• Strong communication and collaboration skills, with the ability to clearly articulate insights and work effectively with cross-functional stakeholders.
• Awareness of modern machine learning approaches (e.g. embeddings, sequence models, deep learning) and interest in applying them to real-world problems.
• Experience working with large datasets to generate actionable insights.
• A strong academic background, typically a Master’s or Ph.D. in a quantitative or technical field (e.g. Mathematics, Statistics, Computer Science).

Responsibilities

• Own the development and delivery of machine learning models for churn prediction, purchase propensity, store recommendations, and customer lifetime value.
• Translate business problems into modelling approaches, selecting appropriate methods and features to deliver measurable impact.
• Work with large-scale behavioural and transactional data to uncover patterns and opportunities for player growth and engagement.
• Collaborate within cross-functional teams, including engineering, product, and commercial stakeholders, to ensure solutions are robust, scalable, and aligned with business needs.
• Partner with stakeholders across commercial, finance, and lifecycle teams to support decision-making with data-driven insights.
• Clearly communicate findings and recommendations to both technical and non-technical audiences.
• Develop and expand understanding of advanced modelling approaches (e.g. deep learning, sequence-based methods).

Skills

Predictive modelling

Python

SQL

ML techniques

Data storytelling

Large datasets

Cross-functional collaboration

Embeddings/sequence models

Education

Master’s or Ph.D. in Mathematics, Statistics, Computer Science

Tools

PySpark

Pandas

scikit-learn

TensorFlow/PyTorch

Job description

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.