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

Originally posted on Himalayas