A global lifestyle brand is hiring a Data Scientist to join the team. You will report to the Director of Global Customer Data Science and work on developing predictive models and customer segmentation strategies to enhance personalised experiences and improve CRM effectiveness.

Responsibilities

• Develop and implement predictive models to understand customer behaviour
• Create customer segmentation using behavioural, transactional, and demographic data
• Design and build models to enhance personalised experiences across channels
• Collaborate on test & learn methods to measure CRM initiatives
• Monitor and optimise model performance
• Transform analytical solutions into production-ready code
• Implement models within existing technology stack
• Ensure scalability and efficiency of deployed solutions
• Translate complex findings into actionable insights
• Create data visualisations to communicate patterns
• Partner with cross-functional teams to enhance CRM strategies
• Provide data-driven recommendations to improve engagement metrics

Requirements

• Experience in Customer Marketing Data Science, including applied statistics and machine learning
• Proficiency in Python and ML libraries (e.g. pandas, numpy, scikit-learn, tensorflow, pytorch)
• Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks
• Experience with ML Ops, including deployment and monitoring
• Ability to work cross-functionally with marketing, CRM, and engineering teams
• Excellent communication skills
• Experience in a global or multi-regional context is a plus

Details

• Start date: ASAP
• Duration: Permanent
• Salary: £65-75k, depending on experience
• Location: London, hybrid (2/3 days in office