Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Staff Data Scientist - Experimentation: Innovation & Research

PlayStation Global
City of London
2 days 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.


As a Staff Data Scientist

As a Staff Data Scientist, you will lead innovation in experimentation and causal inference, helping shape the future of decision-making and product innovation at SIE. You will drive innovative research in experimentation methodologies while mentoring other team members. You\'ll be responsible for elevating our experimentation strategy, fostering a culture of curiosity and rigor, and helping cross-functional teams deliver player-first experiences through strong evidence-based decisions.


What You'll Be Doing

  • Drive innovation in experimentation research by shaping measurement frameworks and best practices, and by developing new methodologies that enhance the quality, speed, and scalability of experiments.
  • Advance experimentation infrastructure and tooling, incorporating statistical and machine learning methods to refine analytical capabilities.
  • Mentor and guide less-senior data scientists, building expertise in experimentation and causal inference while providing technical direction to ensure rigor and impact.
  • Partner with product managers and business leaders to identify high-impact experimentation opportunities and align them with PlayStation's strategic goals.
  • Act as a thought leader in experimentation and causal inference, evangelizing best practices and fostering learning across teams.
  • Contribute to research and prototyping of novel experimentation techniques that address complex real-world challenges, such as user behavior variability and data limitations.
  • Champion a data-driven culture by establishing experimentation standards, ethical practices, and reproducibility
  • Represent the team\'s insights and innovations across the broader data science and product communities within PlayStation.
  • Stay at the forefront of the field by monitoring emerging developments in experimentation, causal inference, and applied machine learning to continuously evolve capabilities.

What We're Looking For

  • Master\'s Degree or equivalent experience in Applied Math, Economics, Statistics, Computer Science, or related field. Ph.D. or equivalent experience preferred.
  • Strong familiarity with the gaming industry and contemporary gaming experiences.
  • 8+ years of experience in data science, including extensive hands-on work in experimentation, with at least 2+ years in a mentoring or technical leadership capacity.
  • Proven track record of leading experimentation innovation and scaling frameworks within a dynamic business environment.
  • Proficiency in SQL and statistical programming languages (e.g., R or Python), especially for causal inference, experimental analysis, and scalable modeling.
  • Expertise in causal inference techniques and designing both randomized and quasi-experiments.
  • Demonstrated ability to collaborate cross-functionally and influence data strategies that inform business and product decisions.
  • Excellent communication and storytelling skills, especially in conveying complex concepts to non-technical stakeholders.
  • Experience working with modern data engineering and visualization tools (e.g., Airflow, Git, Tableau, MicroStrategy).
  • A strong sense of ownership and an inclusive leadership style that encourages collaboration and innovation.

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

Staff Data Scientist

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist – CLV & Next Best Action United Kingdom, London

Staff Data Scientist – Experimentation: Innovation & Research United Kingdom, London

Staff Data Scientist – CLV & Next Best Action London (England) Sony Interactive Entertainment D[...]

Staff Data Scientist, Associate Director (Manchester)

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.