Senior Decision Scientist

Overview

In this role you will turn data into commercial decisions and data-powered product features within a platform squad. You’ll partner with Product, Engineers and Designers to size opportunities, quantify business value, and demonstrate the art of the possible through fast POCs. You’ll own the data voice, define success metrics, and apply AI tools to speed up analysis and prototype features. This is a full-stack data role focused on shaping customer experiences and driving measurable outcomes.

Pay / Benefits

• 25 days annual leave + bank holidays
• 1 wellbeing day off per year
• 5% employer contributory pension scheme
• Private healthcare
• Access to EAP with employee discounts
• Buzzing social calendar

Responsibilities

• Be the data voice in your squad, bringing data into planning and decision-making from the start
• Analyze customer journeys to identify friction, retention drivers, and feature opportunities
• Link squad work to P&L outcomes including conversion, retention, and margin
• Define success metrics with the Product Manager and set dashboards to track feature performance
• Create fast demos (POCs) to show how data and AI could improve the customer experience
• Build production-ready data-driven features that customers interact with
• Lead rigorous experimentation (A/B tests, holdouts, sample sizing, post-test analysis)
• Own the semantic layer and certified metrics for your domain, ensuring reliability and accessibility
• Apply AI/LLMs to speed up analysis and support AI-augmented features
• Tell compelling data stories to stakeholders and share learnings through the Community of Technical Practice
• Contribute to the function by raising data and AI fluency across MPB
• Recent projects include: recommendations engine with experimentation; NL search over catalog using LLMs/SLMs; vision-based image analysis; USP tag tracking; Intent to Buy Score

Key requirements

• Senior data professional focused on turning data into decisions and product outcomes
• Comfort with traditional regression and generative AI
• Curious about parts of the stack not yet mastered
• Collaborative mindset to co-create the future of agentic commerce
• Hands-on experience in a data role, ideally in e-commerce, marketplace, or product-led tech
• Strong SQL and working Python or R for modelling and prototyping
• Comfort with the modern data stack (cloud warehouse, e.g., BigQuery) and dashboard design
• Solid grasp of statistics and experimental design (A/B testing) in consumer context
• Strong product sense and commercial instinct linking work to P&L
• Active practitioner of applied AI/LLM tooling in analytics or prototyping workflow
• Excellent storytelling to senior commercial stakeholders
• Nice-to-have: familiarity with AI evaluation patterns, semantic layer and metrics, hands-on prototyping in data-driven features
• Experience as the data expert in an Agile squad

• Natural collaborator
• Curious and pragmatic
• Strong storytelling ability
• SQL
• Python or R for statistical modelling and prototyping
• BigQuery or equivalent cloud data warehouse

…