Job Specifications
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.
Data Scientist – Data Science Analytics and Enablement (DSAE)
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.
DSAE is looking to recruit talented, highly driven individuals who have excelled in previous roles and are looking for a new challenge in a dynamic and rewarding environment.
What You’ll Be Doing:
As a Data Scientist within our experimentation and measurement work, you will support how PlayStation tests, measures, and learns across key products and initiatives. You will work alongside senior data scientists and cross-functional partners to deliver robust experimental analysis and build experience in causal and econometric techniques used in real-world settings.
This role is based in London with hybrid working flexibility.
You will:
Support the design, execution, and analysis of experiments (e.g. A/B tests), including metric definition, validation, and interpretation
Apply statistical testing techniques to evaluate experimental outcomes and quantify impact
Assist with causal analysis where full randomisation is not feasible, using established approaches such as pre/post analysis, matched cohorts, or difference-in-differences, under guidance
Contribute to exploratory econometric-style analyses to better understand drivers of player behaviour and commercial outcomes
Partner with engineering, analytics, and product teams to ensure accurate experiment setup and clean data capture
Monitor live experiments and analyses, flagging data quality issues or unexpected results
Produce clear analysis outputs, visualisations, and summaries that explain results, assumptions, and limitations
Contribute to experiment readouts and stakeholder updates with support from senior team members
Follow established experimentation standards and contribute to documentation, tooling, or reusable analysis patterns
Continue to build skills in experimentation, causal inference, and applied analytics through hands-on work and mentorship
What We’re Looking For:
Early career experience in data science, analytics, or a related quantitative role
Degree (or equivalent experience) in a quantitative field such as Statistics, Economics, Applied Mathematics, Computer Science, or similar
Proven foundation in statistics, including hypothesis testing and basic experimental analysis
Familiarity with A/B testing concepts and an interest in causal inference and econometric approaches
Proficiency in SQL and Python (or R) for data querying, preparation, and analysis
Ability to clearly communicate analytical findings to non-technical partners
Strong attention to detail and commitment to analytical rigor and data quality
Collaborative, proactive attitude with comfort working across product, engineering, and analytics teams
Curiosity and motivation to develop deeper expertise in experimentation, causal analysis, and measurement over time
Exposure to digital products, e-commerce, gaming, or customer lifecycle analytics is a plus, but not required
Knowledge of machine learning approaches is a plus, but not required
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.
About the Company
Sony Interactive Entertainment, the company behind PlayStation, pushes the boundaries of entertainment and innovation, starting from the launch of the original PlayStation in Japan in 1994. Today, we continue to deliver innovative and thrilling experiences to a global audience through our PlayStation line of products and services that include generation-defining hardware, pioneering network services, and award-winning games. Headquartered in San Mateo, California, with global functions in California, London, and Tokyo, and g...
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