4 of 4 Customer Segmentation Jobs in the North of England

LEAD CUSTOMER INSIGHT ANALYST £60,000-£70,000 + 10% Bonus | Leeds (2 days/week) | Healthcare E-commerce THE COMPANY UK's largest online healthcare platform delivering prescriptions directly to patients' homes. Four core divisions: NHS prescription delivery, private online consultations, pet healthcare, and direct-to-consumer health … products. PE-backed, forecasting 20% growth, scaling to £1bn+ turnover. THE ROLE Lead the customer insight function and manage a team of 4 Insight Analysts. Full ownership of customer segmentation, LTV modeling, and insight strategy across acquisition, retention, and lifecycle campaigns. Report to Head of Customer

Lead Customer Insight Analyst Up to £70,000 + bonus Hybrid - Leeds (2x days per week) An industry-leading online healthcare provider is seeking a Customer Insight Lead to shape and deliver its customer insight strategy. Reporting to the Head of Customer Insight, you will manage … team of four analysts and drive data-led decision making across the organisation. Key Responsibilities: Own and deliver the customer insight strategy end-to-end Lead LTV modelling and apply outcomes across the business Drive RFM analysis and embed usage across teams Develop and implement customer segmentation

month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning … domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex

month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning … domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex