Data Scientist â CLV & Next Best Action
Data Scientist â CLV & Next Best Action
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Job Description
Why PlayStation
PlayStation isnt just the Best Place to Play its also the Best Place to Work. Today were 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.
Were 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 PlayStations Next Best Action and Personalisation strategies. Youll 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 Youll 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 were looking for:
Youre curious analytical and eager to grow your skills in a commercial data science environment. You bring strong fundamentals in modelling and data manipulation and youre 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 Masters 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.
Benefits:
- Discretionary bonus opportunity
- Hybrid Working (within Flexmodes)
- Private Medical Insurance
- Dental Scheme
- 25 days holiday per year
- On Site Gym
- Subsidised Caf
- 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.
Employment Type
Full Time
