Senior Data Scientist

🚀
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.

• 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

• Hands‑on Programming:

  • 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, Big Query, or similar

• Advanced Analytics:

  • 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

• 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)

• Experience with…