Senior Data Scientist

MPB

Senior Data Scientist at MPB, focusing on data-driven product optimizations and partnerships. Working in a fast-paced environment to create value through data analysis and AI solutions.

Posted 5/11/2026full-timeBrighton • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

BigQueryCloudGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

MPB is seeking a skilled and motivated Senior Data Scientist to join our Data & Analytics team, working primarily across our Product and Revenue functions.
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.
Partner closely with Product Managers, Engineers and commercial stakeholders to build intelligent systems that drive measurable business impact.
Design, develop, and evaluate machine learning models specifically for ranking, recommendation and pricing engines that integrate with our Platform.
Communicate complex technical findings into clear, actionable recommendations for stakeholders across the business.

Requirements

What you’ll need

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 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
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 to solve complex retrieval problems
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)

Benefits

Comp & perks

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

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Hard Skills & Tools

Data ScienceMachine LearningPythonA/B TestingHypothesis TestingQuantitative AnalysisData-Driven Decision MakingExperiment DesignNatural Language ProcessingVector Databases

Soft Skills

CommunicationCollaborationProblem SolvingLeadershipStakeholder Engagement