Senior Data Scientist : AI and Products

Location:

Glasgow

Salary :
Competitive

Data is our superpower:not just for insight, but for building intelligent, scalable products.

Were 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 . Youll deliver immediate business value while helping us transition from a data:driven company into an AI:native product organisation .

Youll work closely with product, commercial, and engineering teams to turn complex, text:heavy data into both actionable insights and production:grade AI solutions .

• 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

• 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

• 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

• 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

• 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)

• 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

• 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

• 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