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) United Kingdom, London

PlayStation
London
1 day ago
Create job alert

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

United Kingdom, London

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
  • Discretionary bonus opportunity
  • Hybrid Working (within Flexmodes)
  • Private Medical Insurance
  • 25 days holiday per year
  • On Site Gym
  • Free soft drinks
  • 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.

Apply for this job

*

indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Website

What are your salary expectations? *

What is your current notice period? * Select...

Depending upon where you are currently living, it may be necessary for you to relocate if you are appointed to this role. In order that we can ensure that we promptly provide any appropriate relocation support, please confirm the location at which you currently reside. * Select...

If other, please provide.

Have you previously worked for Sony? * Select...

How did you hear about this job? * Select...

If Employee Referral, please provide the name of the employee who referred you.

Do you wish to be considered for other roles? Select...

Do you hold the right to work in the UK? * Select...

If Other, please provide additional information regarding your right to work in the UK.

Would you like to stay connected with us? * Select...

Question: Stay Connected for Future Opportunities ?

Thank you so much for considering a role with us! Should this position not be the perfect fit right now, we would be excited about the chance to explore future opportunities with you. By selecting "Yes," you’ll allow us to keep your details on file for the next 24 months. This means we can reach out to you about other exciting roles that may fit your skills and interests as they come up. We’re eager to stay connected!

We take your privacy seriously and will ensure your information is securely stored and used only for recruitment purposes, as outlined in our (Candidate Privacy Notice ). Please take a moment to review it for more details.

UK Diversity & Inclusion - Voluntary Equal Opportunity Monitoring

Sony Interactive Entertainment Europe Limited (‘SIEE’) is committed to ensuring that all job applicants and members of staff are treated equally, without discrimination because of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age. Collecting diversity data is intended to help SIEE maintain equal opportunities best practice and identify barriers to workforce equality and diversity. Please read this notification and consent before you decide whether to submit your diversity data in the survey below.

SIEE will treat all survey responses in the strictest confidence, and our personnel with decision-making role in the recruitment process can only see aggregated reports on the results of the survey and cannot allocate these aggregated reports to individual applicants. There is no obligation on you to provide diversity data, SIEE will treat all applicants the same regardless of whether they provide diversity data or not, and any responses to the survey will not affect our decision on your application.

You can withdraw your consent at any time. The withdrawal of your consent does not affect the lawfulness of the processing of your diversity data based on your consent before its withdrawal.

Please tick this box to confirm that you explicitly consent to providing the diversity data below, including the below sensitive information on your racial or ethnic origin, your sexual orientation and your gender identity, and to SIEE using this data as Select...

How would you describe your gender identity? Select...

How would you describe your nationality and/or ethnicity? Select...

Do you identify as transgender? Select...

How would you describe your sexual orientation? Select...


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Scientist - Optimisation

Principal Data Scientist - Optimisation

Senior Data Scientist - B2B

Senior Data Scientist, Growth Analytics

Senior Data Scientist

Senior 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.

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.