Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Scientist – Experimentation & Measurement

PlayStation
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist – Experimentation & Measurement

Data Scientist - Experimentation

Data Scientist - Experimentation

Senior Data Scientist - Experimentation Platform

Experimentation Data Scientist (Associate) - Chase UK

Data Scientist, Marketing Insights and Analytics

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Recognized as a global leader in entertainment, we produce the PlayStation family of products and services, including PlayStation 5, PlayStation 4, PlayStation VR, PlayStation Plus, and acclaimed software titles from PlayStation Studios.

We strive to create an inclusive environment that empowers employees and embraces diversity. We welcome everyone passionate about innovation, technology, and play to explore our open positions and join our growing global team.

The PlayStation brand is part of Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation.

Role Overview:

Join the Decision Science team within the broader Data Science, Analytics, & Enablement (DSAE) organization at PlayStation. As a Data Scientist II, you will focus on designing and interpreting experiments to evaluate the impact of PS+ personalization initiatives, engagement strategies, and campaign performance. You’ll collaborate with cross-functional teams to embed experimentation into product development and decision-making.

What You’ll Be Doing:

  1. Design and analyse A/B tests and quasi-experiments to evaluate initiatives and campaigns.
  2. Support test setup, hypothesis development, and interpretation of results with product managers, engineers, and marketers.
  3. Retrieve and analyze data independently from sophisticated data systems using SQL and Python.
  4. Translate experimental results into actionable insights to influence decisions.
  5. Contribute to developing and adopting experimentation methodologies and tools.
  6. Stay updated on developments in experimentation and causal inference, bringing innovative ideas to your work.
  7. Share insights and collaborate with fellow data scientists to enhance experimentation capabilities across the team.

What We're Looking For:

  • Master’s or PhD in Statistics, Economics, Econometrics, or related quantitative fields.
  • 3–5 years of experience in a data science experimentation role (less with a PhD).
  • Strong understanding of A/B testing and causal inference methods.
  • Proficiency in SQL and Python.
  • Knowledge of statistical techniques and machine learning methods.
  • Ability to communicate insights effectively to cross-functional stakeholders.
  • Bonus: Interest or knowledge of video games, gaming platforms, or player behavior.

Benefits:

  • Discretionary bonus opportunity
  • Hybrid working within Flexmodes
  • Private Medical Insurance
  • Dental Scheme
  • 25 days holiday per year
  • On-site gym, café, and bar
  • Access to cycle garage and showers
  • Free soft drinks

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender, race, religion, marital status, disability, age, sexual orientation, pregnancy, or membership in protected categories.

We promote an inclusive environment that empowers employees and embraces diversity. We encourage everyone to apply.

PlayStation is a Fair Chance employer; qualified applicants with arrest and conviction records will be considered for employment.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.