Summary
David Springate is a Senior Director of Data Science with 14 years of experience building end-to-end analytics and ML ecosystems that turn complex data into hundreds of millions in business value. He combines deep statistical expertise—from survival analysis and mixed-effects models to Bayesian methods—with hands-on MLOps and engineering skills in Python, R, Spark and cloud platforms to shorten time-to-production from months to days. Across industries including automotive, finance, retail, biotech and media he has led teams to design robust, governed production AI systems, data-contract programs and observability frameworks. Known as a pragmatic generalist, he moves fluidly between high-level strategy and detailed algorithmic implementation, and he’s published over 20 peer-reviewed papers while supervising postgrad research. A distinctive strength is translating technical complexity into stakeholder-aligned roadmaps that secure enterprise buy-in and operational ownership. Based in Phoenix, he blends academic rigor (a PhD in Evolutionary Biology) with proven delivery at scale.
14 years of coding experience
15 years of employment as a software developer
PhD Evolutionary Biology, PhD Evolutionary Biology at The University of Manchester
MSc Behavioural and Evolutionary Ecology, MSc Behavioural and Evolutionary Ecology at The Manchester Metropolitan University