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- Tasks: Design and analyse experiments to evaluate PS+ personalisation and campaign performance.
- Company: Join Sony Interactive Entertainment, a global leader in gaming and entertainment.
- Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and more perks.
- Why this job: Be part of a diverse team shaping the future of gaming through data-driven insights.
- Qualifications: Master’s or PhD in a quantitative field with 3-5 years of relevant experience required.
- Other info: Bonus points for interest in video games and player behaviour!
The predicted salary is between 48000 - 84000 ÂŁ per year.
Data Scientist – Experimentation & Measurement
Join to apply for the Data Scientist – Experimentation & Measurement role at Sony Interactive Entertainment
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
- 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. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: London, England, United Kingdom
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Data Scientist - Experimentation & Measurement employer: Sony Interactive Entertainment
Contact Detail:
Sony Interactive Entertainment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Experimentation & Measurement
✨Tip Number 1
Familiarise yourself with A/B testing concepts and causal inference methods. Being able to discuss these topics confidently during your interview will show that you understand the core responsibilities of the role.
✨Tip Number 2
Brush up on your SQL and Python skills, as these are essential for data extraction and analysis in this position. Consider working on personal projects or contributing to open-source projects to demonstrate your proficiency.
✨Tip Number 3
Stay updated on the latest trends in data science and experimentation. Being knowledgeable about recent advancements can help you stand out and show your passion for the field during discussions with the hiring team.
✨Tip Number 4
If you have a background or interest in gaming, make sure to highlight this in conversations. Understanding player behaviour and the gaming industry can give you an edge and align you more closely with PlayStation's mission.
We think you need these skills to ace Data Scientist - Experimentation & Measurement
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Data Scientist – Experimentation & Measurement role. Familiarise yourself with A/B testing concepts and causal inference methods, as these are crucial for the position.
Tailor Your CV: Customise your CV to highlight relevant experience in data science, particularly focusing on experimentation and measurement. Include specific projects or roles where you've designed experiments or analysed data using SQL and Python.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your interest in the gaming industry. Mention any relevant experience and how it aligns with Sony Interactive Entertainment's goals, especially in personalisation initiatives and campaign performance.
Showcase Your Skills: In your application, emphasise your proficiency in SQL and Python, as well as your understanding of statistical techniques and machine learning methods. Provide examples of how you've communicated data-driven insights to stakeholders in previous roles.
How to prepare for a job interview at Sony Interactive Entertainment
✨Understand A/B Testing Concepts
Make sure you have a solid grasp of A/B testing principles and causal inference methods. Be prepared to discuss how you've applied these concepts in previous roles, as this will demonstrate your expertise and relevance to the position.
✨Showcase Your Technical Skills
Highlight your proficiency in SQL and Python during the interview. Be ready to provide examples of how you've used these tools to extract and analyse data, as well as any specific projects where you've implemented statistical techniques or machine learning models.
✨Communicate Data-Driven Insights
Practice explaining complex data findings in a clear and concise manner. You may be asked to present insights from past projects, so focus on how you translated data into actionable recommendations for cross-functional teams.
✨Demonstrate Passion for Gaming
Since the role is with Sony Interactive Entertainment, showing an interest in video games and player behaviour can set you apart. Share any relevant experiences or insights related to gaming that could enhance your candidacy.