We are seeking a highly skilled and innovative AI Data Scientist to join our team focused on revolutionizing supply chain discovery and risk analysis. As part of our advanced Data Science and AI group, you will develop and deploy cutting-edge machine learning solutions that uncover hidden risks, enable due diligence, and enhance transparency across global supply chains among other applications.

PROFESSIONAL EXPERIENCE REQUIRED:

• Strong and proven programming skills (Python preferred, but other languages may also be considered).
• Proven experience with graph theory and graph ML algorithms (e.g., GNNs, GraphRAG, link prediction).
• Hands-on expertise with LLMs (and transformers-based models) and transfer learning, model fine-tuning, and prompt engineering.
• Strong background in building and deploying predictive ML models in production environments.
• (Bonus) PhD-level (or post-graduate research) experience in Computer Science, Machine Learning, Data Science, or a related quantitative field.
• (Bonus) Relevant publications in top venues in the field.
• (Bonus) Familiarity with agent-based systems and multi-agent AI frameworks (e.g. LangGraph, CrewAI) (e.g. LangGraph, CrewAI)

• Design and implement graph-based machine learning models to map and analyse complex supply chain networks.
• Develop and fine-tune Large Language Models (LLMs) for extracting and synthesizing supply chain-related data from diverse text sources.
• Build and optimize Graph RAG models
• Create predictive models to identify risk factors and forecast disruptions within supply chains.
• Collaborate with cross-functional teams including data engineers, product managers, and domain experts.
• Contribute to the development of Agentic AI systems for dynamic and autonomous supply chain analysis and decision-making.
• Provide technical leadership in AI and Data Science, and engage with the company’s R&D culture
• Contribute to potential publications and/or IP patents