Summary
Daniel Tait is a Senior Data Scientist with nine years of experience at the intersection of statistics and machine learning, currently applying his expertise at C3 AI. He specializes in integrating prior scientific and domain knowledge with flexible, high-performance ML models to improve interpretability and predictive power. His background includes a PhD in Statistics from the University of Edinburgh, a postdoc at the University of Warwick, and a visiting research role at the Alan Turing Institute. At Clear Dynamics he translated research ideas into practical AI solutions, bridging academic rigor with industry-ready systems. Daniel’s work reflects a rare combination of formal statistical training and hands-on AI research, enabling principled solutions for complex real-world problems. Based in the UK, he brings both deep theory and applied engineering to data-driven decision making.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at The University of Edinburgh