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Senior Data Scientist

  • Job reference no: vn-1227
  • Job type: Permanent
  • Location: Glasgow, Scotland, United Kingdom
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This is a unique opportunity to sit at the forefront of enterprise analytics—moving beyond traditional dashboards into conversational, AI-powered insights that empower senior leaders to make faster, smarter decisions.

You’ll work at the intersection of data science, semantic modelling, and applied AI, helping transform data into intuitive, natural language experiences while ensuring accuracy, trust, and transparency at every step.

What You’ll Be Doing

  • Design and deliver conversational analytics experiences using Power BI and AI tools
  • Translate executive questions into structured analytical insights
  • Optimise semantic data models for AI-readiness and natural language interaction
  • Build and implement solutions that minimise AI hallucination risks and ensure data accuracy
  • Develop explainable AI outputs, ensuring all insights are traceable and trusted
  • Apply data science and ML techniques for insight generation, summarisation, and anomaly detection
  • Partner with senior stakeholders to shape data-driven decision-making
  • Coach and upskill teams on best practices in AI-enabled analytics

What we're looking for

  • Minimum of 3 years of experience and a strong background in Data Science, Analytics, or Machine Learning
  • Hands-on experience with Power BI semantic models or enterprise data modelling
  • Experience with LLMs, conversational AI, or natural language analytics
  • Deep understanding of data governance, quality, and metric definition
  • Strong analytical thinking and problem-solving skills
  • Ability to thrive in ambiguous, evolving environments and shape solutions from the ground up

Nice to have:

  • Experience with Microsoft Copilot, Azure OpenAI, or similar platforms
  • Knowledge of RAG (retrieval-augmented generation) or AI grounding techniques
  • Experience supporting executive-level stakeholders

Why join us?

  • Be at the forefront of AI-driven transformation in enterprise analytics
  • Influence how senior leaders interact with data across the business
  • Help define standards, best practices, and innovation in a growing space
  • Work in a collaborative, forward-thinking environment focused on continuous improvement

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