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.ResponsibilitiesDesign and evolve AI and ML architecture supporting compliance validation workflowsDesign and optimise LLM-driven retrieval and validation pipelines (RAG-based systems)Own evaluation frameworks, benchmarking strategies, and continuous improvement loopsImplement explainability and traceability mechanisms aligned with regulatory standardsCollaborate closely with ML Engineers and Backend teams on productionisation of AI componentsDrive decisions around embeddings, vector databases, and retrieval strategiesEnsure reproducible, testable, and high-quality AI workflowsSupport scaling the platform into an enterprise-grade AI solutionLead technical discussions across product, engineering, and compliance stakeholders RequirementsStrong hands-on background in Data Science and applied Machine LearningProven experience designing and deploying LLM-based systems in productionPractical experience with Retrieval Augmented Generation architecturesExperience with vector databases and embedding pipelinesStrong Python expertise and familiarity with modern AI frameworksExperience designing model evaluation and validation frameworksAbility to operate in regulated or compliance-heavy environmentsStrong ownership mindset and ability to influence architectural decisionsConfident communication skills in cross-functional environmentsNice to haveExperience in pharmaceutical, healthcare, or other regulated industriesExposure to explainable AI methodologies or frameworksExperience with document intelligence and NLP-heavy pipelinesBackground in enterprise-scale AI platforms rather than proof-of-concept environments BenefitsSolid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineFully remote working model Originally posted on Himalayas