Senior Data Scientist

📍 Location: Brighton

💖 Department: Data & Analytics

📅 Position type: Full-time, hybrid

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.

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• Applied AI Mindset: Hands‑on experience with NLP and Generative AI, pragmatic and outcome‑focused.
  
• Quantitative Analysis: Uncover behaviour, model user interactions, spot trends and opportunities that elevate search and discovery.
  
• Product Decisions: Partner with Product and Engineering teams to define problems, design experiments (A/B testing), and execute product launches.
  
• Scalable Intelligence: Design, develop and evaluate machine learning models—ranking, recommendation, and pricing engines—that integrate with our Platform.
  
• AI Solutions: Identify where LLMs and agentic workflows can augment traditional Data Science to extract value from unstructured data.
  
• Data Integrity: Collaborate with Data Engineers to ensure pipelines feeding models are robust and governed.
  
• Communication: Translate complex technical findings into clear, actionable recommendations for stakeholders across the business.
  

Recent projects in the team include:

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• A price optimisation agent supporting commercial pricing decisions
  
• A recommendation engine with associated experimentation / A/B testing
  
• Natural language search over catalog and content using LLMs / SLMs
  
• Vision‑based image analysis to enrich product imagery
  

Hands‑on Programming:

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• 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.
  
• Strong experience solving analytical problems using quantitative approaches.
  
• Understanding of ecosystems, user behaviours, 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.
  
• Proven experience in A/B testing, hypothesis testing, and defining success metrics for consumer‑facing products.
  
• Demonstrated experience (or a strong, informed interest) in integrating LLMs, NLP, or Vector Databases into traditional data science workflows.
  
• 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 (peer reviews, boards, sprint planning).
  

Other desired skills:

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• 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).
  

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• 🌍 Better, Connected: We work collaboratively and embrace diversity.
  
• 💡 Empowering and Empowered: We celebrate ownership and initiative.
  
• 🔎 Insight‑driven: We act based upon data and reflection.
  
• 🌱 Agents of Change: We innovate and promote sustainability.
  
• 🌟 Focused on Excellence: We aim high, and work smart.
  
• 🚀 Passionately Ambitious: We encourage creativity and strive to improve through innovation.
  

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.

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• 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 to thousands of free courses to upskill in any area you’d like.
  
• 2 volunteer days per year for charity aligned with MPB values, chosen by you.