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.
Role Overview:
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.
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.
We’re seeking a motivated and collaborative Data Scientist to join our CLV & Next Best Action / Personalisation team, which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base.
By connecting player behaviours to long-term outcomes, our work creates the intelligence that underpins Customer Lifetime Value (CLV) modelling and guides PlayStation’s Next Best Action and Personalisation strategies. You’ll help shape how PlayStation invests in, retains, and delights its players - and advance our use of modern machine learning at global scale.
This is an exciting opportunity to develop your skills in modern machine learning while contributing to high-impact projects that directly influence how PlayStation engages and retains its players.
What You’ll Be Doing:
- Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement.
- Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth.
- Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies.
- Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.
- Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes.
- Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects.
What we're looking for:
You’re curious, analytical, and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation, and you’re motivated by the challenge of applying these to impactful business problems.
- Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth.
- Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling.
- Proficiency in Python and SQL, with fluency in common data science libraries.
- Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies.
- Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them.
- A collaborative attitude, with the ability to work in cross-functional teams.
- A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience.
Nice to Have:
- Experience with A/B testing or experimentation frameworks.
- Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo).
- Exposure to gaming, e-commerce, or subscription-based business models.
- Proven experience of analysing and modelling with “big data” technologies.
- A personal interest in gaming and entertainment.
- 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
:quality(80))
:quality(80))
:quality(80))