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

View Open Roles

Senior Data Scientist - Data Science Analytics and Enablement (DSAE) (London)

PlayStation Global
London
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Computer Vision

Senior Data Scientists

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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 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. DSAE is looking to recruit dedicated, highly driven individuals who have excelled in previous roles and are looking for a new challenge in a dynamic and exciting environment.
What You'll Be Doing: As a key leader in our global experimentation efforts, you will raise the bar on how we test, measure, and learn across PlayStation's most impactful products and initiatives. This role is based in London with hybrid working flexibility.
You will:

  • 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
  • Apply causal inference techniques when randomisation isn't feasible
  • Own the interpretation of experimental results, delivering both topline summaries and deep performance insights
  • Provide mid-test updates that build stakeholder confidence and advise adjustments during live tests
  • Communicate insights and recommendations with clarity and influence across working groups and senior leadership forums
  • 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

What We're Looking For

  • 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
  • Exceptional communication skills - with a proven track record to present findings to non-technical audiences, advocate for experimentation results, and influence business and product leaders
  • Experience working on or advising experimentation platforms and measurement frameworks
  • Commercial awareness and confidence in shaping decisions through data-driven evidence
  • Demonstrated experience mentoring junior team members and upholding high analytical standards
  • Collaborative, proactive attitude with strong ability to align and influence cross-functional partners
  • Familiarity with personalisation systems, recommender models, or A/B testing in an e-commerce or customer lifecycle context
  • Experience with large-scale experiments, particularly in high-traffic environments
  • Strong problem-solving, critical thinking, and adaptability skills
  • Commitment to continuous improvement and staying updated with the latest trends and standard methodologies in experimentation and measurement

Benefits:

  • Discretionary bonus opportunity
  • Hybrid Working (within Flexmodes)
  • Private Medical Insurance
  • Dental Scheme
  • 25 days holiday per year
  • On Site Gym
  • Subsidised Caf
  • 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.
#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.

Seasonal Hiring Peaks for AI Jobs: The Best Months to Apply & Why

The artificial intelligence sector has transformed from a niche technology field into one of the UK's most dynamic employment markets. With AI roles ranging from machine learning engineers to data scientists and AI product managers commanding average salaries between £45,000 and £120,000, timing your job search strategically can significantly impact your success rate. Understanding when companies typically hire for AI positions—and why these patterns exist—can give you a competitive edge in landing your dream role. Unlike traditional industries with predictable seasonal fluctuations, the AI job market follows distinct patterns driven by corporate budgets, educational cycles, and technological project timelines. This comprehensive guide explores the optimal months to apply for AI jobs in the UK, helping you align your career moves with industry hiring peaks.

Breaking Into Generative AI: A Beginner's Complete Guide to Starting Your Career in 2025/26

Are you fascinated by AI tools like ChatGPT, DALL-E, or Midjourney but unsure how to turn that interest into a career? You're not alone. The generative AI revolution has created thousands of new job opportunities across the UK, and many don't require a computer science degree or years of coding experience. Whether you're a recent graduate, considering a career change, or simply curious about this exciting field, this comprehensive guide will show you exactly how to break into generative AI jobs.

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

The artificial intelligence sector in the UK is experiencing unprecedented growth, with companies across industries seeking talented professionals to drive digital transformation. However, securing a position in this competitive field involves more than just demonstrating technical expertise. Pre-employment checks have become an integral part of the hiring process for AI jobs, ensuring organisations maintain security, compliance, and trust whilst building their teams. Whether you're a data scientist, machine learning engineer, AI researcher, or technology consultant, understanding the pre-employment screening process is crucial for navigating your career journey successfully. This comprehensive guide explores the various types of background checks you may encounter when applying for AI positions in the UK, from basic right-to-work verification to enhanced security clearance requirements.