Data Scientist Salaries in the region of £65,000 - £75,000. Hybrid working 2 days central London office. Job Reference J13031. Full UK working rights required, no sponsorship available. Customer Science

Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis. Create sophisticated customer segmentation using behavioural, transactional, and demographic data. Design and build predictive models to enhance personalized customer experiences across all channels. Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness. Monitor and optimise model performance through continuous improvement cycles.

Technical Implementation

Transform analytical solutions into production-ready code. Implement models within our existing technology stack. Ensure scalability and efficiency of deployed solutions.

Stakeholder Communication & Collaboration

Translate complex analytical findings into clear, actionable insights. Create compelling data visualisations to effectively communicate patterns and insights. Partner with cross-functional teams to enhance CRM strategies. Provide data-driven recommendations to improve customer engagement metrics.

Skills

Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc). Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch. Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. 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.

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