Senior Data Scientist - CLV & Personalisation at Scale

PlayStation Network; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading gaming company in London is seeking a Senior Data Scientist to enhance player engagement and retention. This role requires a solid background in machine learning and the ability to influence strategic decisions. You will design predictive models, partner with various teams, and mentor colleagues in a collaborative environment. The ideal candidate should have experience with modern ML techniques and a relevant advanced degree. The position offers competitive benefits and a hybrid working model.

Benefits

Discretionary bonus opportunity

Private Medical Insurance

25 days holiday per year

On Site Gym

Free soft drinks

Access to cycle garage and showers

Qualifications

• Experience building predictive models for customer value and engagement.
• Expertise in modern ML techniques like transformers and sequence models.
• Ability to work with complex datasets.
• Strong communication skills for explaining concepts to senior leaders.

Responsibilities

• Design models that quantify player value and engagement.
• Apply ML approaches to capture player behaviour.
• Partner with stakeholders to define modelling roadmaps.
• Mentor colleagues and foster a collaborative environment.

Skills

Machine learning expertise

Influencing strategy

Problem-solving

Collaboration

Communication skills

Education

Master’s or PhD in a technical or quantitative field

Tools

Python

PySpark

SQL

Job description

A leading gaming company in London is seeking a Senior Data Scientist to enhance player engagement and retention. This role requires a solid background in machine learning and the ability to influence strategic decisions. You will design predictive models, partner with various teams, and mentor colleagues in a collaborative environment. The ideal candidate should have experience with modern ML techniques and a relevant advanced degree. The position offers competitive benefits and a hybrid working model.