Data Science Lead

About the role

We are seeking a Data Science Lead to drive the architecture and evolution of machine‑learning and Generative AI capabilities for an automated regulatory validation platform. This strategic technical leadership role sits at the intersection of data science, engineering, product, and compliance in a highly regulated environment.

Key responsibilities

• Design, evolve, and oversee AI/ML architecture supporting compliance validation workflows.
• Build and optimise Retrieval‑Augmented Generation (RAG) pipelines and LLM‑powered retrieval strategies.
• Establish evaluation frameworks, benchmarking, and continuous‑improvement processes for AI performance.
• Develop explainability, traceability, and validation mechanisms to meet regulatory requirements.
• Collaborate with ML and backend engineers to productionise AI components and integrate them into enterprise systems.
• Lead technical decisions around embeddings, vector databases, and retrieval infrastructure.
• Ensure AI workflows are reproducible, testable, maintainable, and adhere to high‑quality engineering standards.
• Scale AI capabilities from individual workflows to a robust, enterprise‑grade platform.
• Facilitate technical discussions and align architectural decisions across product, engineering, data science, and compliance stakeholders.

Required profile

• Proven experience leading data‑science teams in complex, regulated environments.
• Hands‑on expertise with large language model (LLM) systems and production AI pipelines.
• Strong architectural vision and ability to drive technical strategy.
• Excellent collaboration skills across cross‑functional teams.

Required skills

• Embedding‑generation pipelines
• Explainable AI methodologies
• Vector databases
• LLM systems
• Data Science
• Machine Learning
• Python programming