Data Scientist

MPB is seeking a skilled and motivated Senior Data Scientist to join our Data & Analytics team, working primarily across our Product and Revenue functions.

In this role, you will translate MPB's unique proprietary data into world-class search and discovery experiences, as well as data-driven features, optimisations and enhancements to the customer journey. You will partner closely with Product Managers, Engineers and commercial stakeholders to build intelligent systems that drive measurable business impact.

The ideal candidate has a passion for working in a fast-paced environment and a proven track record of creating impact by combining traditional statistical rigor with modern AI capabilities.

You'll report to the Lead Data Engineer and work alongside another Senior Data Scientist in a collaborative, fast-paced environment where autonomy and ownership are encouraged.

What you will be doing

• Applied AI Mindset: You bring hands-on experience with NLP and Generative AI and are excited by their real-world application. You're pragmatic and outcome-focused - choosing the right tool for the problem rather than defaulting to academic purity. You think in systems, not just models, and enjoy experimenting with modern AI approaches to deliver meaningful impact.

• Apply Expertise in Quantitative Analysis: You don't just analyse data - you uncover behaviour. You dig into patterns, model user interactions, and spot the trends and opportunities that elevate search and discovery.

• Inform and Influence Product Decisions: You partner, and for certain projects embed, with Product and Engineering teams to define problems, design experiments (A/B testing), and execute product launches that improve the discovery journey for our customers.

• Build Scalable Intelligence: You design, develop, and evaluate machine learning models- specifically ranking, recommendation and pricing engines - that integrate with our Platform.

• Orchestrate AI Solutions: You proactively identify where LLMs and agentic workflows can augment traditional Data Science to extract value from unstructured data.

• Drive Data Integrity: You collaborate closely with Data Engineers to ensure the integrity and robustness of the data pipelines feeding your models, maintaining a high bar for governance and reliability.

• Communicate Insights: You're an effective storyteller who can translate complex technical findings into clear, actionable recommendations. You influence stakeholders across the business, ensuring data meaningfully shapes our roadmap and strategy.

Recent projects in the team have included:

• A price optimisation agent supporting commercial pricing decisions
• 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

• Strong experience in a hands-on Data Science role, preferably in e-commerce, tech platforms, or a technical consultancy

• Proficient in programming languages such as Python

• Experience with cloud tools like GCP Vertex AI, BigQuery, or similar Advanced Analytics:

• Strong experience solving analytical problems using quantitative approaches

• Understanding of ecosystems, user behaviors, and long-term product trends

• Proven track record in leading data-driven projects from definition to execution, including defining metrics, experiment design, and communicating actionable insights Experimental Design:

• Proven experience in A/B testing, hypothesis testing, and defining success metrics for consumer-facing products Pragmatic AI Openness:

• Demonstrated experience (or a strong, informed interest) in integrating LLMs, NLP, or Vector Databases into traditional data science workflows to solve complex retrieval problems Product Sense:

• Experience working in a product-led environment

• Track record of using data to drive business KPI uplift (e.g., conversion, retention)

• Familiarity with collaborative development practices (e.g. peer reviews, boards, sprint planning)

Desirable

• Experience with Learning to Rank (LTR), price elasticity modelling, or multi-modal search architectures
• Familiarity with evaluation frameworks for generative AI or non-deterministic systems
• Degree in Statistics, Mathematics, Computer Science, or a related quantitative field (Masters/PhD preferred)

• 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.