Senior Data Scientist - AI & Intelligence Products

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