Data Scientist – Marketing & Personalisation | Hybrid – London (1 day per week) | £50,000 – £60,000 + Benefits

The Company

Our client is a leading automotive e-commerce and retail organisation, delivering innovative digital solutions that connect buyers and sellers across the vehicle marketplace. Operating at scale and powered by advanced data and technology, they help customers make smarter purchasing decisions while enabling seamless, personalised online experiences. Their established Data Science function plays a central role in shaping commercial strategy and customer engagement across multiple brands.

• Join a forward-thinking business at the forefront of automotive digital transformation
• Work with large, rich datasets that directly influence real customer journeys
• Be part of a highly experienced and collaborative data science team
• Hybrid working model offering flexibility and work-life balance
• Strong commitment to diversity, inclusion, and employee wellbeing

The Role

Our client is seeking a talented Data Scientist – Marketing & Personalisation to join their growing analytics team. In this role, you’ll transform customer behaviour data into actionable insights that drive smarter marketing campaigns and personalised digital experiences. You’ll be involved across the full machine learning lifecycle – from discovery and model development through to deployment and optimisation in production environments.

• Build and enhance machine learning models that support marketing attribution and personalisation
• Analyse customer journeys to identify insights that improve campaign performance
• Develop forecasting, segmentation, recommender systems, and econometric models
• Collaborate closely with digital analytics, marketing, and engineering teams
• Deploy scalable, production-ready solutions using modern MLOps best practices

Your Experience

This role is ideal for a curious, collaborative, and impact-driven data scientist who enjoys solving real business problems. You’ll have a strong technical foundation combined with hands-on experience in digital marketing analytics and machine learning.

• 2–3+ years of experience as a Data Scientist within marketing or digital analytics
• Strong technical skills in Python and SQL
• Experience with MMM, MTA, forecasting, segmentation, or recommender systems
• Solid knowledge of statistics, econometrics, and causal inference
• Familiarity with cloud platforms such as AWS, Azure, GCP, or Databricks
• Experience deploying models into production using CI/CD and MLOps practices
• Understanding of the digital marketing ecosystem and customer journey analytics

Preferred but not essential: experience with A/B testing, API development, and agile development practices.

Next Steps

This Data Scientist – Marketing & Personalisation role is in high demand and won’t be open for long. If you’re excited about using advanced analytics to shape customer experiences and drive real commercial impact, we’d love to hear from you. Please apply today or get in touch for more information.