David is a Global Principal and Technical Director in Data Science at Jacobs, specialising in addressing complex system challenges by integrating data, models, and decisions throughout the value chain. He collaborates with clients to transform fragmented data and system intricacies into actionable insights that enhance performance, mitigate risks, and optimise results. His methodology combines engineering modelling, sensor data, and artificial intelligence to provide a coherent understanding of system behaviours and their influence.
David is involved across the entire lifecycle of digital solutions, from problem framing and approach definition to technical oversight and final approval. He is esteemed for his capacity to bridge disciplines, ensuring continuity between intent, methodology, and outcomes. With over 20 years of experience across academia and industry, his work is rooted in complex systems theory, applied mathematics, and physics, with a strong emphasis on practical implementation.
