Data Scientist (AI & Conversational Analytics)

This is a unique opportunity to play a key role in the development of trusted, conversational analytics solutions powered by AI and advanced data modelling. Working closely with senior leadership, you will help transform complex business data into intuitive, natural language insights while ensuring the highest standards of governance, accuracy, and explainability., * Design and deliver AI-powered conversational analytics solutions using enterprise data models and business intelligence platforms.

• Develop trusted, fact-based insight experiences that minimise AI hallucinations and provide clear, explainable outputs.
• Partner with data, BI, and technology teams to optimise semantic models for AI readiness.
• Apply data science, machine learning, NLP, and advanced analytics techniques to enhance insight generation and anomaly detection.
• Contribute to the organisation's long-term Data & AI strategy, influencing senior stakeholders and executive leadership.
• Establish best practices, standards, and governance frameworks for responsible AI adoption.
• Coach and support analytics teams in developing AI-ready modelling and insight capabilities., * Opportunity to influence enterprise-wide AI and analytics strategy.
• Exposure to executive stakeholders and high-impact business initiatives.
• A collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption.
• Hybrid working with flexibility and a strong commitment to professional development.

Please note: This role focuses on building trusted, enterprise-grade AI insight solutions where accuracy, governance, and business value are paramount.

• Strong experience in Data Science, Machine Learning, Applied Analytics, or a related field.
• Proven ability to develop strategy and influence senior stakeholders, including executive-level audiences.
• Hands-on experience with enterprise data modelling, semantic layers, and business intelligence platforms (Power BI experience highly desirable).
• Experience working with LLMs, conversational AI, natural language analytics, or generative AI solutions.
• Deep understanding of data governance, data quality, statistical validation, and AI risk management.
• Comfortable operating in evolving environments where you can shape direction and define solutions.

Desirable Experience

• Microsoft Copilot, Azure OpenAI, or similar AI platforms.
• Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
• Executive-level analytics solutions and trusted AI implementations.
• Highly regulated or data-governed environments.