Senior Data Scientist

Senior Data Scientist (Generative AI & Enterprise Analytics)Salary: £80,000 per annumLocation: Glasgow office (hybrid)Position Type: Full-timeAbout the OpportunityAre you a seasoned Data Scientist who wants to move beyond traditional dashboards and shape the future of conversational, AI-driven business intelligence?We are a global enterprise looking for a senior technical expert to lead a pivotal internal transformation. We are intentionally at the beginning of this journey and need your external expertise to help us co-create scalable, AI-enabled insight solutions. You will sit at the intersection of data science, semantic modelling, and applied AI, transforming complex enterprise data into trusted, natural-language experiences for executive-level leadership.This role isn't about building experimental AI demos without guardrails. It is about creating trusted, enterprise-grade conversational insights where accuracy, clarity, and traceability matter more than novelty.Key ResponsibilitiesAI-Insight Engineering: Design and develop conversational analytics experiences over complex enterprise data models, enabling natural-language exploration for senior stakeholders.Trust by Design: Implement strict approaches to explicitly minimize LLM hallucinations (e.g., through strong semantic constraints and retrieval-based patterns). Ensure all AI-generated insights are completely traceable back to verifiable facts.Model Optimization: Partner with BI developers to optimize semantic models, metrics, and business logic for AI-readiness.Capability & Strategy: Act as the trusted technical expert within the team, sharing emerging best practices, defining guardrails for responsible AI, and coaching analysts on conversational analytics principles.Stakeholder Engagement: Work closely with executive-level leaders to understand their decision-making needs and translate complex technical concepts into clear, business-oriented language.What We Are Looking ForCore Expertise: A strong background in data science, applied analytics, or machine learning, with practical experience in enterprise data/tabular modelling.Applied AI Experience: Hands-on experience working with LLMs, conversational AI, or natural language analytics in a real-world, production context.Risk Mitigation: A deep understanding of hallucination risks and proven methods to mitigate them in AI systems.Data Hygiene: A solid grounding in data quality, governance, metric definition, and statistical validation.Mindset: The ability to thrive and operate effectively in early-stage, ambiguous environments where you will help shape the solution rather than just building to a fixed specification..What We OfferCompetitive salary of £80,000.Flexible hybrid working model (typically 1 day a week in the office, with occasional additional days for collaborative workshops).The autonomy to shape an enterprise-scale AI strategy from the ground up.