Senior Data Scientist- Hybrid

Senior Data Scientist Data Science Analytics and Enablement (DSAE) United Kingdom, London
Today, were recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more.
PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.
The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.
Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through seamless integration of data.
Currently there are over 100 people in the global DSAE team, including data science, data governance and analytics professionals. We work closely with engineering and product management teams to deliver data products, insight, predictive analytics, and data visualisation.
This role is based in London with hybrid working flexibility.
Define and standardise experimentation strategy, including best practices in test design, allocation, and statistical analysis
Collaborate with commercial, engineering, analytics, and product teams to ensure flawless execution and clean data capture
Own the interpretation of experimental results, delivering both topline summaries and deep performance insights
Guide and mentor other data scientists, ensuring consistency, quality, and alignment across experimentation work
Represent experimentation at the strategic level, advocating for rigorous methods that drive long-term learning and impact
Create reusable documentation, tooling, and training materials to elevate experimentation maturity across the organisation
Significant experience in data science and experimentation, ideally within consumer tech or digital commerce
~ Strong foundation in statistical testing, power analysis, and causal inference methodologies
~ Expertise in SQL and Python (or R) for data querying, preparation, and sophisticated analysis
~ Commercial awareness and confidence in shaping decisions through data-driven evidence
~ Familiarity with personalisation systems, recommender models, or A/B testing in an e-commerce or customer lifecycle context
~ Discretionary bonus opportunity
~ Hybrid Working (within Flexmodes)
~ Private Medical Insurance
~25 days holiday per year
~ On Site Gym
~ 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.
We strive to create an inclusive environment, empower employees and embrace diversity. indicates a required field
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