Data Scientist – CLV & Next Best Action at PlayStation Global

<div class="content-intro"><p><strong>Why Sony Interactive Entertainment?</strong></p> <p>Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.</p></div><h2><span style="font-size: 12pt;">Role Overview:</span></h2> <p><span style="font-size: 12pt;">Our Data Science Analytics and Enablement (DSAE) team inspires PlayStation to make impactful, customer-centric decisions through seamless integration of data.</span></p> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">We’re seeking a motivated and collaborative <strong>Data Scientist</strong> to join our <strong>CLV &amp; Next Best Action / Personalisation team</strong>, which builds models that help PlayStation understand and influence the value, growth, and engagement of our global player base.</span></p> <p><span style="font-size: 12pt;">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.</span></p> <p><span style="font-size: 12pt;">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.</span></p> <h2><span style="font-size: 12pt;">What You’ll Be Doing:</span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Build and validate models for use cases such as churn prediction, purchase propensity, CLV modelling, and personalised engagement.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Work with sequential and behavioural data, applying machine learning approaches (e.g., gradient boosting, embeddings, sequence models) to capture player behaviour and growth.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with commercial, finance, and lifecycle teams to translate business needs into modelling hypotheses that inform engagement strategies.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Collaborate with analytics and engineering colleagues to ensure models are efficient, robust, and scalable.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Communicate findings clearly to both technical and non-technical partners, ensuring insights drive measurable outcomes.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Grow your expertise in modern ML approaches (transformers, representation learning, sequence-to-sequence modelling) through high-visibility projects.</span></li> </ul> <h2><span style="font-size: 12pt;">What we're looking for:</span></h2> <p><span style="font-size: 12pt;">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.</span></p> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong analytical and critical thinking skills, with a passion for understanding customer behaviour and enabling data-driven growth.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Practical experience with predictive modelling, such as churn, propensity, segmentation, or value modelling.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proficiency in Python and SQL, with fluency in common data science libraries.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Ability to work with large datasets to uncover actionable insights that influence marketing, engagement, or retention strategies.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Interest or early experience in deep learning approaches — such as transformers, embeddings, or sequence models — with motivation to learn and apply them.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">A collaborative attitude, with the ability to work in cross-functional teams.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">A strong academic background (typically with a Master’s in a technical or mathematical field) or equivalent professional experience.</span></li> </ul> <h2><span style="font-size: 12pt;">Nice to Have:</span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience with A/B testing or experimentation frameworks.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with workflow orchestration tools (e.g., Airflow), feature stores, or visualisation platforms (e.g., Tableau, Domo).</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Exposure to gaming, e-commerce, or subscription-based business models.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Proven experience of analysing and modelling with “big data” technologies.</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">A personal interest in gaming and entertainment.</span></li> </ul> <h2><span style="font-size: 12pt;"><strong>Benefits:</strong></span></h2> <ul> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Discretionary bonus opportunity</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Hybrid Working (within Flexmodes)</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Private Medical Insurance</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Dental Scheme</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">25 days holiday per year</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">On Site Gym</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Subsidised Café</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Free soft drinks</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">On site bar</span></li> <li style="font-size: 12pt;"><span style="font-size: 12pt;">Access to cycle garage and showers</span></li> </ul> <p class="p1">Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.</p> <p class="p2">Please refer to our <a href="https://www.playstation.com/en-gb/legal/careers-privacy-notice/"><span class="s1">Candidate Privacy Notice</span></a>&nbsp;for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.&nbsp;</p><div class="content-conclusion"><p class="p1">Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.</p> <p class="p1">Please refer to our&nbsp;<a href="https://www.playstation.com/legal/careers-privacy-notice/" target="_blank">Candidate Privacy Notice</a>&nbsp;for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.</p> <p><strong>Equal Opportunity Statement:</strong></p> <p><em>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.</em></p> <p><em>We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.&nbsp;</em></p> <p><em>Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.</em></p> <p>&nbsp;</p></div>