Data is our superpower—not just for insight, but for building intelligent, scalable products.
We’re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies.
This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering. You’ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation.
You’ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions.
What You’ll Be Doing
Today: Driving Commercial Impact with Data
- Lead end-to-end data science projects that deliver measurable business outcomes
- Work hands-on with data analysis, modelling, and experimentation
- Translate business challenges into analytical solutions and clear insights
- Partner with stakeholders across commercial, product, and engineering teams
- Embed data into decision-making across the organisation
- Mentor and support a small team of Data Scientists
Evolving the Role: Building AI-Powered Capabilities
- Design and develop AI-powered features such as assistants, copilots, and intelligent workflows
- Build and deploy Retrieval-Augmented Generation (RAG) pipelines
- Apply NLP techniques to structure and unlock value from unstructured text
- Develop semantic and hybrid search solutions (vector + keyword)
- Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications
Future State: Shaping Intelligent Products & Strategy
- Help define how AI becomes embedded in our core product offering
- Influence product strategy through data and AI capabilities
- Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration)
- Establish best practices for experimentation, evaluation, and model performance
- Elevate the organisation from analytics-led to decision intelligence and AI-driven automation
What We’re Looking For
Core Data Science Expertise
- Strong experience as a Data Scientist in a SaaS or data-rich environment
- Proven track record of delivering commercially impactful solutions
- Expertise in experimentation, statistical analysis, and modelling
- Strong SQL and data manipulation skills
- Experience with Elastic / Elasticsearch and observability tooling
Engineering & AI Capability
- Strong Python skills and experience building data/ML pipelines
- Experience developing APIs or production-grade systems
- Hands-on exposure to LLMs and prompt engineering
- Understanding of RAG architectures and NLP pipelines
- Familiarity with search technologies (Elasticsearch, vector databases, or similar)
Collaboration & Influence
- Excellent stakeholder management and communication skills
- Ability to translate complex technical work into business value
- Comfortable working cross-functionally across product, engineering, and commercial teams
Leadership & Growth
- Experience mentoring or supporting junior team members
- Interest in shaping standards, tools, and ways of working
- Motivated by building both immediate impact and long-term capability
- Docker, Kubernetes, or scalable deployment environments
- Background in building AI-powered or search-driven products
Why Join Us?
- Immediate impact: Deliver high-value data science work from day one
- Future-facing: Help build real AI products—not just models in notebooks
- Ownership: Shape both what we build and how we build it
- Growth: Evolve into a key leader in AI and data strategy
- Environment: Fast-moving, collaborative SME where data and AI are core to success