Staff Data Scientist – Data Science Analytics and Enablement (DSAE) United Kingdom, London

PlayStation is home to extraordinary entertainment experiences for hundreds of millions of players worldwide. As a Staff Data Scientist in Measurement & Experimentation, you will define how we test, measure, and learn across some of our most strategic products and initiatives. This is a high-visibility role where your expertise will influence senior leadership decisions while raising the global standard of experimentation practices.

• Define and evolve PlayStation’s experimentation strategy - setting standards in test design, allocation, and statistical analysis.
• Partner with commercial, product, analytics, and engineering teams to ensure rigorous execution and clean data capture.
• Apply causal inference and quasi-experimental methods when randomisation isn’t feasible.
• Deliver clear, compelling insights - from executive-ready summaries to deep-dive analyses - that shape commercial and product priorities.
• Provide mid-test readouts and recommendations that build confidence and inform adaptive decisions.
• Mentor and guide other data scientists, ensuring high standards and methodological consistency.
• Champion experimentation in senior forums, influencing strategy with data-driven evidence and long-term learning.
• Contribute to reusable tooling, documentation, and training materials that scale experimentation maturity across the organisation.

• Significant experience in data science and experimentation, ideally within consumer technology, gaming, or digital commerce.
• Deep expertise in experimental design, statistical testing, power analysis, and causal inference methodologies.
• Proficiency in SQL and Python (or R), with hands-on experience running large-scale experiments.
• Proven ability to communicate findings to non-technical audiences and influence senior stakeholders.
• Experience shaping or advising experimentation platforms and measurement frameworks.
• Commercial awareness and ability to balance scientific rigour with business priorities.
• Strong track record of mentoring and raising standards across data science teams.
• Collaborative and proactive, with the ability to align and influence cross-functional partners.
• Familiarity with personalisation systems, recommender models, or e-commerce A/B testing (desirable).
• Strong problem-solving, adaptability, and commitment to continuous learning in measurement science.

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.

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