Data Science Lead
Pubblicato il 17-08-2026 - Jobgether in Italia
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Science Lead based in Italy.
This is a strategic technical leadership opportunity within a high-impact AI program operating in a highly regulated environment.
You will lead the architecture and evolution of machine learning and GenAI capabilities supporting automated regulatory validation workflows.
The role combines hands-on expertise in LLM systems with architectural ownership, evaluation, and productionisation.
You will design sophisticated RAG pipelines and retrieval strategies while ensuring AI workflows are reliable, reproducible, explainable, and traceable.
Working across data science, engineering, product, and compliance teams, you will influence key technical decisions and drive the platform toward enterprise scale.
The position offers the opportunity to shape production-grade AI systems where quality, governance, and measurable performance are critical.
It is well suited to an experienced data science leader who enjoys solving complex problems and turning advanced AI capabilities into robust business solutions.
n
Accountabilities
Design, evolve, and oversee AI and machine learning architecture supporting automated compliance validation workflows.
Design and optimize LLM-powered retrieval and validation pipelines, including Retrieval Augmented Generation (RAG) architectures.
Establish evaluation frameworks, benchmarking approaches, and continuous improvement processes to measure and enhance AI system performance.
Develop explainability, traceability, and validation mechanisms that support regulatory and compliance requirements.
Collaborate closely with ML Engineers and Backend Engineers to productionize AI components and integrate them into reliable enterprise systems.
Drive technical decisions around embeddings, vector databases, retrieval strategies, and related AI infrastructure.
Ensure AI workflows are reproducible, te