Data Scientist; AI & Conversational Analytics

Salary: £40,000 - 70,000 per year

• 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.
• 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 we can shape direction and define solutions.
• Experience with Power BI is highly desirable.
• Desirable experience with Microsoft Copilot, Azure OpenAI, or similar AI platforms.
• Desirable experience with Retrieval-Augmented Generation (RAG) and semantic grounding techniques.
• Desirable experience with executive-level analytics solutions and trusted AI implementations.
• Desirable experience in highly regulated or data-governed environments.

• 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 our 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.

• AI
• Azure
• Business Intelligence
• Copilot
• Support
• Machine Learning
• Power BI
• RAG
• Cloud

We are a leading global organisation offering a hybrid working arrangement with 1 day per week in the office. This is a unique opportunity to help shape the future of enterprise analytics and AI-enabled decision making. You will work closely with senior leadership to transform complex business data into intuitive, natural language insights while maintaining high standards of governance, accuracy, and explainability.

We offer the chance to influence enterprise-wide AI and analytics strategy, exposure to executive stakeholders and high-impact business initiatives, and a collaborative environment focused on innovation, data-driven decision making, and responsible AI adoption. We also provide hybrid working flexibility and a strong commitment to professional development.

last updated 37 week of 2026