Data Science Lead | Worksynergy

Data Science Lead | Worksynergy Data Science Lead Posted Aug 8, 2026 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 embedding pipelines - Strong Python expertise and familiarity with modern AI frameworks - Experience designing model evaluation and validation frameworks - Ability to operate in regulated or compliance-heavy environments - Strong ownership mindset and ability to influence architectural decisions - Confident communication skills in cross-functional environments Nice to have - Experience in