Senior Data Scientist About the Role This is a high-impact Data Science role focused on solving real commercial problems across pricing, customer behaviour, and marketing effectiveness. You’ll work on models that directly influence revenue, engagement, and customer experience, using a combination of machine learning, experimentation, and statistical techniques. This role is ideal for someone who enjoys getting close to the business, running experiments, and proving the value of data science through measurable outcomes. Key Responsibilities Build and optimise pricing models to improve revenue and conversion outcomes Develop propensity models to support targeted campaigns and customer lifecycle strategies Design and execute experiments, including A/B testing frameworks, to measure impact Apply causal inference and attribution techniques to understand drivers of performance Translate complex business challenges into robust modelling and analytical solutions Work closely with stakeholders across digital, marketing, and product teams Collaborate with engineering teams to support model deployment and scaling What You’ll Bring Strong experience in pricing, marketing analytics, or customer lifecycle modelling Proven experience with experimentation, A/B testing, and statistical analysis Strong Python and SQL capability Solid grounding in statistics, mathematics, and machine learning Experience working in digital, marketplace, or high-scale consumer environments Strong communication skills, able to translate insights into business decisions A commercial mindset, focused on measurable impact Why This Role Direct influence on pricing, marketing, and customer strategy Work on problems with clear commercial outcomes and visibility Fast-paced environment with real ownership and impact Opportunity to work alongside strong engineering and AI teams
