⭐ Featured

Sony Interactive Entertainment
Staff Data Scientist – Data Science Analytics and Enablement (DSAE)
This role is for a Staff Data Scientist focusing on e-commerce analytics, requiring significant experience in data science, experimental design, and proficiency in SQL and Python. It offers a permanent contract with a hybrid work location and competitive pay.
🌎 Country
United Kingdom
🏝️ Location
Hybrid
📄 Contract
Full-time
🪜 Seniority
Mid-Senior level
💰 Range
Unknown
💱 Currency
£ GBP
💸 Pay
Unknown
🗓️ Discovered
August 27, 2025
📍 Location detailed
London, England, United Kingdom
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🧠 Skills
#Product Analytics
Role description
Why PlayStation?
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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.
Role Overview:
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.
What you’ll be doing:
• 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.
What We’re Looking For:
• 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.
Benefits:
• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• 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
Equal Opportunity Statement:
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.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Why PlayStation?
PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation®5, PlayStation®4, PlayStation®VR, PlayStation®Plus, 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.
Role Overview:
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.
What you’ll be doing:
• 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.
What We’re Looking For:
• 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.
Benefits:
• Discretionary bonus opportunity
• Hybrid Working (within Flexmodes)
• 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
Equal Opportunity Statement:
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.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.