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 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 pharmaceutical, healthcare, or other regulated industries
• Exposure to explainable AI methodologies or frameworks
• Experience with document intelligence and NLP-heavy pipelines
• Background in enterprise-scale AI platforms rather than proof-of-concept environments

Benefits

• Solid, competitive salary
• Work in a multinational environment on international projects
• Comprehensive healthcare
• Long-term B2B contract with a stable project pipeline
• Fully remote working model