Data science is fast becoming an indispensable pillar of modern engineering. As organisations grapple with an explosion of digital information, increasingly, the biggest challenge is in extracting actionable intelligence from it.

Data science acts as a complement to physics-based methods, allowing engineers to evolve from a culture of reactive problem-solving to a way of working that enables them to explore more of the design space, faster. Adopting a data-driven framework allows organisations to:

• Make more informed decisions using the data already available.
• Shift the workflow to be more predictive.
• Quantify uncertainty, move beyond just providing a single number as the result.
• Capture and deploy specialist expertise across the entire enterprise.
• Spot trends, clusters, and outliers.
• Strengthen traceability and promote the reuse of high-value data across different projects and teams.

To illustrate these advantages, the Engineering Data Science Working Group has compiled the following case studies that demonstrate how data science is transforming the engineering landscape in practice.

This article appeared in the July 2026 Issue of BENCHMARK.