Senior Decision Scientist
Job in
Brighton and Hove, Brighton & Hove, East Sussex, England, UK
Listed on 2026-09-03
Listing for:
MPB
Full Time
position Listed on 2026-09-03
Job specializations:
-
IT/Tech
Data Analyst, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
Senior Decision Scientist
Location:
Brighton Department:
Data & Analytics Position type:
Full-time, hybrid
The roleMPB is investing seriously in data and AI as a core part of how we operate - utilising emerging tools and technology, a modern stack built on solid foundations, a growing team and executive commitment to data driven customer experiences. This role sits right at the centre of that. We're hiring for the long term, investing in capabilities where we expect the value of data to compound, and we want people who want to be here for the journey.
The Senior Decision Scientist [Squad] role is the data craft inside a platform squad - the person who turns data into the commercial decisions and data powered product features that achieve customer and business outcomes. This role sits full-time alongside the Product Manager, Engineers and Designer. This role sizes the opportunity before we build, quantifies the business value of new features, assesses what actually happened, and showcases the art of the possible through fast POCs.
The Senior Decision Scientist is the one who knows what data to use to add the magic that supercharges the customer experience.
This is a full-stack data role - turning data into action is the foundation, alongside technical development across data engineering and data science.
Is this role for me?
You don't need to be world-class at both; but you need to be genuinely curious about both. Full-stack is the destination, not the entry requirement - we back that with a dedicated L&D budget, protected learning time, and the Community of Technical Practice to help you grow into the parts you haven't done before.
If you're an analyst who wants to build, or a data scientist who wants to be closer to the product and the commercial outcome, this is the role. You'll operate in a hub-and-spoke model - accountable to your squad day-to-day, plugged into the wider Data & Analytics function through our Community of Technical Practice, where you'll level up, share what's working, and pull in deeper ML, engineering or commercial depth when your squad's problem demands it.
What you will be doing
Be the data voice in your squad. Bring data into planning, refinement, reviews, and decision-making from the start.
Understand your users. Analyse customer journeys to identify friction, drop-offs, retention drivers, and feature opportunities.
Commercial sense. Connect squad work to P&L outcomes, including conversion, retention, and margin.
Define success metrics with your PM. Set clear metrics, targets, and dashboards to track feature performance.
Art of the possible & POC mock-ups. Create fast, lightweight demos to show how data and AI could improve the customer experience.
Build product features and data products. Develop production-ready, data-driven features that customers interact with.
Experimentation rigour. Lead A/B tests, holdouts, sample sizing, and post-test analysis to support confident decisions.
Own certified metrics and the semantic layer for your squad’s domain. Ensure metrics are consistent, documented, accessible, and trusted.
Applied AI as a working tool. Use LLMs and AI tools to speed up analysis, prototype ideas, and support AI-augmented features.
Data storytelling that drives action. Turn technical work into clear recommendations with Product for wider stakeholders.
Contribute to the function. Share learnings through the Community of Technical Practice and help raise data and AI fluency across MPBRecent projects in the team have included:
A recommendations engine and associated experimentation / A/B testing
Natural language search over catalog and content, using LLMs / SLMsVision-based image analysis to understand and enrich product imagery (POC)
USP tag setup and tracking
Intent to Buy Score based on platform behaviour
What we are looking forYou're a senior data professional focused on turning data into decisions and product outcomes, with a technical lean into either data engineering or data science. You're comfortable using everything from traditional regression to generative AI, and genuinely curious about the parts of the stack you haven't yet mastered.
You are curious in nature and value…
Position Requirements
10+ Years
work experience
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