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

Data Scientist – Data Science Analytics and Enablement (DSAE)

London Full-Time 30000 - 45000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to analyse data and drive impactful decisions at PlayStation.
  • Company: Sony Interactive Entertainment is a global leader in entertainment, known for PlayStation products.
  • Benefits: Enjoy hybrid working, private medical insurance, 25 days holiday, and more perks.
  • Why this job: Be part of a creative culture that values innovation and diversity while shaping the future of gaming.
  • Qualifications: Strong analytical skills, programming in Python/SQL, and a Master's or PhD in a technical field required.
  • Other info: Opportunity for self-directed exploration and occasional travel to global offices.

The predicted salary is between 30000 - 45000 £ per year.

Join to apply for the Data Scientist – Data Science Analytics and Enablement (DSAE) role at Sony Interactive Entertainment.

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognised 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.

Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer centric decisions through flawless 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.

Overview: Data Scientists in the DSAE team apply sophisticated analytical methods and tools to drive value from the data through methods such as customer segmentation, predictive modelling, forecasting and other algorithms. Our work delivers an in-depth understanding of consumer behaviours and supports multi-channel targeting and personalisation.

What you will be doing: You’ll join a London-based agile team building and supporting data science products that drive business impact across PlayStation. You’ll collaborate closely with other data scientists, engineers, and product managers to serve teams such as marketing, operations, engineering, product planning, R&D, and finance.

We are hiring for two vital teams within Data Science:

  • Forecasting & Value Models: With a focus on forecasting and value modelling, you will help PlayStation quantify and anticipate the future value of our customer base, powering commercial decisions that affect strategy and planning. Your work will enable the business to better understand not just who our customers are, but how their behaviours translate into long-term financial outcomes.
  • Growth Modelling: As a Data Scientist focused on growth modelling, you’ll partner closely with cross-functional teams to prototype, develop and validate models that inform marketing, customer lifecycle, and commercial strategies. You’ll help shape how PlayStation understands its customers and prioritises high-impact engagement opportunities.

Your impact and expertise: You’re someone who’s passionate about turning data into actionable insight — and you bring both the curiosity to explore and the skills to implement. You have the technical depth to work with sophisticated datasets, the communication skills to influence a wide range of teams, and the eye for business to connect data science to commercial growth and operational impact.

We’re looking for someone who brings:

  • Exceptional analytical and critical thinking, with a structured approach to developing and testing hypotheses that drive performance.
  • Strong programming and data skills in Python and SQL, with fluency in common data science libraries.
  • Proven academic grounding, typically with a Master’s or PhD in a technical or mathematical field — or equivalent professional experience.
  • Experience applying data science techniques such as supervised/unsupervised learning, segmentation, forecasting, causal inference, and uplift modelling.
  • Demonstrated ability to extract insight from sophisticated, high-volume datasets and apply it to influence commercial or strategic decisions.
  • Strong commercial competence, with a track record of delivering high-value data science solutions that influence business outcomes.
  • Excellent communication skills, able to present complex technical work clearly to a range of partners.
  • A collaborative attitude and the ability to align data science work with broader business priorities.

Nice to Have:

  • Experience with data science tooling (e.g., workflow orchestrators like Airflow, feature stores).
  • Familiarity with visual analytics tools (e.g., Tableau or similar platforms).
  • Experience in gaming, digital commerce, or subscription services.
  • A personal interest in gaming and the entertainment industry.

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.

Data Scientist – Data Science Analytics and Enablement (DSAE) employer: Sony Interactive Entertainment

At Sony Interactive Entertainment, we pride ourselves on being not just a leader in entertainment but also an exceptional employer. Our London-based Data Science Analytics and Enablement (DSAE) team fosters a collaborative and inclusive work culture, offering employees the chance to engage in meaningful projects that drive impactful business decisions. With benefits like hybrid working, private medical insurance, and dedicated time for self-directed exploration, we empower our data scientists to grow professionally while enjoying a vibrant workplace that celebrates diversity and innovation.
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Contact Detail:

Sony Interactive Entertainment Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist – Data Science Analytics and Enablement (DSAE)

Tip Number 1

Familiarise yourself with the gaming industry and PlayStation's products. Understanding their customer base and how data science can enhance user experience will help you stand out during discussions.

Tip Number 2

Network with current employees or alumni who work at Sony Interactive Entertainment. They can provide insights into the company culture and the specific skills that are valued in the DSAE team.

Tip Number 3

Stay updated on the latest trends in data science, particularly in predictive modelling and customer segmentation. Being able to discuss recent advancements or tools can demonstrate your passion and expertise.

Tip Number 4

Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss how you've applied data science techniques to real-world scenarios, especially those that relate to business outcomes.

We think you need these skills to ace Data Scientist – Data Science Analytics and Enablement (DSAE)

Analytical Skills
Critical Thinking
Python Programming
SQL Proficiency
Data Science Libraries (e.g., Pandas, NumPy, Scikit-learn)
Predictive Modelling
Customer Segmentation
Forecasting Techniques
Causal Inference
Uplift Modelling
Data Visualisation Tools (e.g., Tableau)
Communication Skills
Collaboration Skills
Commercial Acumen
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Scientist role at Sony Interactive Entertainment. Focus on your analytical skills, programming expertise in Python and SQL, and any experience with data science techniques like forecasting and segmentation.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how it can drive business impact. Mention specific projects or experiences that demonstrate your ability to turn data into actionable insights, and explain why you want to work for PlayStation.

Showcase Your Technical Skills: Be sure to include any relevant technical skills in your application. Highlight your proficiency in data science libraries and tools, as well as any experience with visual analytics platforms like Tableau. This will show that you have the technical depth required for the role.

Prepare for Potential Assessments: Since the role involves sophisticated analytical methods, be prepared for potential assessments or case studies during the interview process. Brush up on your problem-solving skills and be ready to discuss how you would approach real-world data challenges.

How to prepare for a job interview at Sony Interactive Entertainment

Showcase Your Analytical Skills

Prepare to discuss specific analytical methods you've used in past projects. Be ready to explain how you approached problems, the tools you employed, and the outcomes of your analyses. This will demonstrate your technical depth and critical thinking abilities.

Communicate Clearly

Practice explaining complex data science concepts in simple terms. Since you'll be working with both technical and non-technical teams, being able to communicate your findings clearly is crucial. Use examples from your experience to illustrate your points.

Understand the Business Impact

Research Sony Interactive Entertainment and its products, especially PlayStation. Be prepared to discuss how your data science work can influence commercial decisions and enhance customer engagement. Showing that you understand the business context will set you apart.

Demonstrate Collaboration Skills

Highlight your experience working in cross-functional teams. Share examples of how you've collaborated with engineers, product managers, or marketing teams to deliver data-driven solutions. This will show that you can align your work with broader business priorities.

Data Scientist – Data Science Analytics and Enablement (DSAE)
Sony Interactive Entertainment
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  • Data Scientist – Data Science Analytics and Enablement (DSAE)

    London
    Full-Time
    30000 - 45000 £ / year (est.)

    Application deadline: 2027-05-26

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    Sony Interactive Entertainment

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