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