At a Glance
- Tasks: Transform data into impactful commercial decisions and innovative product features.
- Company: Join a forward-thinking tech company committed to data-driven customer experiences.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on creativity and continuous learning.
- Why this job: Be at the forefront of AI and data innovation, shaping the future of commerce.
- Qualifications: Experience in data roles with strong skills in SQL, Python or R, and a passion for collaboration.
The predicted salary is between 60000 - 80000 £ per year.
Location: Brighton
Department: Data & Analytics
Position type: Full-time, hybrid
The role 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.
What you will be doing:
- 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.
What we are looking for:
- 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.
Our Values:
- 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.
Senior Decision Scientist in Brighton employer: MPB
At MPB, we pride ourselves on being an exceptional employer, particularly for the Senior Decision Scientist role in Brighton. Our commitment to data and AI fosters a dynamic work culture that encourages collaboration, innovation, and personal growth, while our hybrid working model offers flexibility. Employees benefit from hands-on experience with cutting-edge technology, opportunities for professional development, and a supportive environment that values diverse perspectives and empowers individuals to drive impactful change.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Decision Scientist in Brighton
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those that highlight your ability to turn data into actionable insights. This will give you an edge when chatting with hiring managers.
✨Tip Number 3
Prepare for interviews by practising common questions related to data science and decision-making. Be ready to discuss how you've used data to drive business outcomes and improve customer experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at MPB.
We think you need these skills to ace Senior Decision Scientist in Brighton
Some tips for your application 🫡
Show Your Data Magic:When you're writing your application, make sure to highlight how you've turned data into actionable insights in your previous roles. We want to see your ability to connect the dots between data and commercial outcomes!
Be a Storyteller:Don't just list your skills; tell us how you've used them to drive decisions and improve customer experiences. We love a good story that showcases your impact, so make it engaging and relatable!
Tailor Your Application:Make sure your application speaks directly to the Senior Decision Scientist role. Use the job description as a guide to align your experience with what we're looking for. This shows us you’re genuinely interested in joining our team!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MPB
✨Know Your Data Inside Out
As a Senior Decision Scientist, you'll be expected to turn data into actionable insights. Make sure you brush up on your SQL and Python skills, and be ready to discuss how you've used data to drive commercial decisions in the past. Prepare examples that showcase your ability to analyse customer journeys and identify opportunities.
✨Showcase Your Collaboration Skills
This role is all about teamwork, so be prepared to talk about your experience working in Agile squads. Highlight instances where you've collaborated with Product Managers, Engineers, and Designers to create data-driven features. Emphasise your ability to communicate complex data insights in a way that resonates with non-technical stakeholders.
✨Demonstrate Your Experimentation Rigor
A/B testing and experimental design are key components of this role. Be ready to discuss your approach to hypothesis testing, sample sizing, and how you've used these techniques to inform product decisions. Bring examples of successful experiments you've led and the impact they had on business outcomes.
✨Be Curious and Innovative
The ideal candidate is someone who values pragmatic innovation. Share your experiences with applied AI and LLM tools, and how you've used them to enhance analysis or prototype ideas. Show your enthusiasm for learning new technologies and your curiosity about the parts of the data stack you haven't mastered yet.
