Top Tech Jobs & Startup Jobs in London

Lead innovation in experimentation and causal inference, mentor data scientists, and drive evidence-based product innovation at SIE.

The Senior Fraud Strategist will develop and execute fraud strategies, collaborate with teams to mitigate fraud risks, and provide expert guidance on fraud trends and best practices.

Lead and drive technical accounting initiatives including policy documentation, accounting treatment assessments, new standard adoptions (including ESG), M&A support, auditor coordination, SOX control execution, training, and cross-functional accounting guidance.

The Analyst will provide analytical support for the PlayStation Plus subscription services, focusing on data-driven insights, commercial performance, and strategy planning.

The Data Scientist will build predictive models for customer lifetime value and engagement, using machine learning to analyze player behavior and business needs, and ensuring collaboration across teams.

As a Senior Data Scientist, design advanced machine learning models to enhance player value and engagement, mentor junior team members, and drive impactful business decisions.

Design, build, and maintain internal tools, services, and pipelines for game development. Own delivery from design through release, improve systems, write tests and docs, support studios, and drive engineering standards and reliability.

Lead design program management for PlayStation Partners, coordinating designers, engineers, product, and stakeholders to plan, prioritize, and deliver B2B design initiatives. Drive collaboration, champion accessibility and design systems, anticipate risks, manage timelines and resources, and improve processes to ensure high-quality user experiences from planning through launch.

Lead strategy and execution of analytics and AI/ML products to measure and maximize player lifetime value. Drive cross-team alignment, prioritize roadmaps, define experimentation and modelling standards, and ensure scalable, production-grade ML capabilities are adopted and deliver measurable business impact.

Manage planning, coordination and execution of data science and AI initiatives. Maintain program plans, dashboards (Domo), perform SQL-based analysis, track risks, align technical dependencies, and enable adoption through reporting, AI Agent context and stakeholder communication.