Decision Scientist

MPB 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.

The Senior Decision Scientist 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 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.

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., * 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 MPB

Recent projects in the team have included:

• A recommendations engine and associated experimentation / A/B testing
• Natural language search over catalog and content, using LLMs / SLMs
• Vision-based image analysis to understand and enrich product imagery (POC)
• USP tag setup and tracking
• Intent to Buy Score based on platform behaviour

• You'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 pragmatic innovation over academic purity - finding the fastest, most robust path to value.
• You are a natural collaborator who wants to move beyond 'servicing tickets' to co-creating the future of agentic commerce.
• Demonstrated experience in a hands-on data role, ideally in e-commerce, marketplace, or product-led tech.
• Strong SQL and working Python or R for statistical modelling, analysis and lightweight prototyping.
• Comfort with the modern data stack - a cloud warehouse (BigQuery or equivalent) and dashboard design principles
• Solid grasp of statistics and experimental design - hypothesis testing, sample sizing, A/B testing rigour in a consumer-facing context.
• Strong product sense and commercial instinct - you can connect work to P&L outcomes and defend value trade-offs.
• Active practitioner of applied AI / LLM tooling in your analytics or prototyping workflow.
• Excellent storytelling - credible into senior commercial stakeholders.

It would also be great if you have:

• Familiarity with AI evaluation patterns - eval sets, scorecards, guardrails for non-deterministic outputs.
• Working understanding of the semantic layer and certified metrics.
• Hands-on experience prototyping data-driven product features
• Experience as the data expert in an Agile squad alongside Product, Engineers and Designers.
• Degree in a relevant quantitative discipline.

• 25 days annual leave + bank holidays
• 1 wellbeing day off per year
• 5% employer contributory pension scheme
• Private healthcare
• Access to EAP with a range of employee discounts
• Buzzing social calendar
• Dog friendly workplace
• Bespoke Learning Management System - the MPB 'Learning Lab' with access thousands of free courses to upskill in any areas you'd like; whether personally or professionally
• 2 volunteer days per year for charity which aligns with MPB values, and of your choosing

Department Data & Analytics

We are MPB, the largest global platform for used photography and videography equipment. Our platform transforms the way that people buy, sell and trade in photo and video kit. MPB is a destination for everyone, whether you've just discovered your passion for visual storytelling or you're already a pro. We recognise the benefit of inclusive practices to better build a diverse community here at MPB. Our commitment to ensuring inclusion fuels and connects us as one with the diverse community of visual storytellers that we serve. MPB customers come from all walks of life, and so do we. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of family makeup, race, sexuality, religion, gender identity, disability or age. At MPB, every employee has the opportunity to make an impact and grow., MPB is the largest global platform to buy, sell and trade used photography and videography kit. We are the simple, safe and circular way to trade, upgrade and get paid for kit. Starting in the UK in 2011, we have grown to 450+ people and have offices in the creative hubs of Brighton, Brooklyn and Berlin. We are pushing boundaries, investing in sustainability, and are dedicated to making kit accessible for everyone.