Data Scientist - Forecasting

Sony Interactive Entertainment
London
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Analytical thinking","Problem-solving","Initiative","Communication","Collaboration"]

Develop and deliver machine learning models that drive player growth and long-term value, including churn prediction, purchase propensity, recommendations, and customer lifetime value. Translate business problems into modeling approaches, work with large-scale behavioral and transactional datasets, and collaborate with engineering, product, commercial, and finance stakeholders. Communicate insights clearly to technical and non-technical audiences while expanding your expertise with advanced methods such as deep learning and sequence models.

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Sony Interactive Entertainment
Sony Interactive Entertainment
2 months ago

Data Scientist - Forecasting

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Last checked: 3 hours agoStatus: Live

Job Summary

Develop and deliver machine learning models that drive player growth and long-term value, including churn prediction, purchase propensity, recommendations, and customer lifetime value. Translate business problems into modeling approaches, work with large-scale behavioral and transactional datasets, and collaborate with engineering, product, commercial, and finance stakeholders. Communicate insights clearly to technical and non-technical audiences while expanding your expertise with advanced methods such as deep learning and sequence models.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Own development and delivery of ML models for use cases such as churn prediction, purchase propensity, store recommendations, and customer lifetime value.
  • •Translate business problems into modeling approaches by selecting methods and features to deliver measurable impact.
  • •Analyze large-scale behavioral and transactional data to identify patterns and opportunities for player growth and engagement.
  • •Collaborate with engineering, product, and commercial stakeholders to build robust, scalable solutions aligned to business needs.
  • •Communicate findings and recommendations clearly to both technical and non-technical audiences.

Pay and Benefits

Perks:Health InsuranceDentalPaid LeaveGym MembershipCycle ParkingFree DrinksOn-site BarSubsidised Cafe

Key Requirements

  • •Experience building predictive models (e.g., churn, propensity, segmentation, or value modelling) in a commercial setting.
  • •Ability to take a problem end-to-end from definition through solution and delivery, demonstrating initiative and ownership.
  • •Proficiency in Python and SQL, with familiarity with common data science and ML libraries.
  • •Solid understanding of machine learning techniques (e.g., regression, tree-based models, clustering) and how to apply, refine, and tune them for real-world problems.
  • •Typically a Master’s or Ph.D. in a quantitative or technical field (e.g., Mathematics, Statistics, Computer Science).
Experience:Predictive modelingGamingE-commerceSubscription-based products
Education:Master's in quantitative or technical field (e.g., Mathematics, Statistics, Computer Science)
Skills:Analytical thinkingProblem-solvingInitiativeCommunicationCollaboration
Languages:English
Tech Stack:PythonSQLDeep learningSequence modelsEmbeddingsPySparkMLOpsData pipelinesRegressionTree-based modelsClustering

Company Brief

Sony Interactive Entertainment
Develops and publishes PlayStation hardware, software, and digital services, operating the PlayStation platform and ecosystem for gaming, entertainment, and network services worldwide.
Industry: Gaming
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Headquarters: San Mateo, United States
Founded: 1993
WebsiteLinkedIn