National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist – Data Science Analytics and Enablement (DSAE)

PlayStation
London
17 hours ago
Create job alert

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 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.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist – Data Science Analytics and Enablement (DSAE)

Senior Data Scientist - Research

Senior Data Scientist

Principal Data Scientist

Data Scientist

Data Scientist

National AI Awards 2025

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.