Data Scientist

Salary: £65,000 - £75,000.

Hybrid working: 2 days in central London office.

Job Reference: J13031.

Full UK working rights required, no sponsorship available.

Immediate requirement – strong leadership skills.

We are seeking an experienced, passionate and highly motivated Data Scientist who will help discover the information hidden in vast amounts of customer data, and help make data‑driven decisions to deliver better products, service and relevance to the customers.

• 
  
• 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 personalised customer experiences across all channels.
  
• Collaborate on the 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.
  

• 
  
• 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 such as 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.
  

Mid‑Senior level.

Full‑time.

Science.

Industries: IT System Data Services.