Data Science Lead

This is a remote position. We are looking for a Data Science Lead to join a high-impact AI programme operating within a strictly regulated pharmaceutical environment. The role focuses on leading the machine learning and GenAI architecture behind a production-grade compliance platform that automates regulatory validation of marketing materials. This is a strategic, enterprise-scale initiative requiring strong ownership, architectural thinking, and hands-on depth in LLM-driven systems. Responsibilities Design and evolve AI and ML architecture supporting compliance validation workflows Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems) Own evaluation frameworks, benchmarking strategies, and continuous improvement loops Implement explainability and traceability mechanisms aligned with regulatory standards Collaborate closely with ML Engineers and Backend teams on productionisation of AI components Drive decisions around embeddings, vector databases, and retrieval strategies Ensure reproducible, testable, and high-quality AI workflows Support scaling the platform into an enterprise-grade AI solution Lead technical discussions across product, engineering, and compliance stakeholders Requirements Strong hands-on background in Data Science and applied Machine Learning Proven experience designing and deploying LLM-based systems in production Practical experience with Retrieval Augmented Generation architectures Experience with vector databases and em