Data Scientist, Forecasting & Player CLV

Sony Playstation; Greater London; On-site; GBP 75,000 - 110,000; Full time

Benefits offered by this job

Discretionary bonus

Private Medical Insurance

Dental Scheme

25 days holiday per year

On Site Gym

Subsidised Café

Free soft drinks

On site bar

Access to cycle garage and showers

Job summary

Sony Interactive Entertainment is seeking a Data Scientist to develop ML models for churn, purchase propensity, and lifetime value to drive player engagement and monetisation across the lifecycle.

You will work with cross‑functional teams to translate business problems into modelling approaches, validate insights, and deliver scalable solutions that inform product and commercial decisions.

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.
• 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).
• Strong communication and collaboration skills with cross-functional stakeholders.
• Awareness of modern ML approaches (e.g. embeddings, sequence models, deep learning).
• Experience working with large datasets to generate actionable insights.

Responsibilities

• Own the development and delivery of machine learning models for churn prediction, purchase propensity, store recommendations, and CLV.
• Translate business problems into modelling approaches and select methods and features.
• Work with large-scale behavioural and transactional data to uncover patterns and opportunities.
• Collaborate with engineering, product, and commercial stakeholders to ensure robust and scalable solutions.
• Partner with stakeholders across commercial, finance, and lifecycle teams to support data-driven decision-making.
• Clearly communicate findings to technical and non-technical audiences.
• Develop and expand understanding of advanced modelling approaches as problems grow in complexity.

Skills

Analytical thinking

Problem solving

Ownership

Cross-functional collaboration

Strong communication

Education

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

Tools

Python

SQL

PySpark

Job description

Sony Interactive Entertainment is seeking a Data Scientist to develop ML models for churn, purchase propensity, and lifetime value to drive player engagement and monetisation across the lifecycle.

You will work with cross‑functional teams to translate business problems into modelling approaches, validate insights, and deliver scalable solutions that inform product and commercial decisions.