I'm Greg Duckworth, I'm a Data Scientist with over a decade of experience building and deploying Machine Learning systems into production. Most of my work sits at the intersection of data (science, engineering, AI&ML), product, and business strategy.
In a previous life I was in Academia, and have a PhD in Applied Statistics from the University of Cape Town, South Africa (see my publication history here). I'm still connected to Academia, and I review manuscripts focussing on statistics, ML and AI for international peer-reviewed journals, most notably, Nature. I still maintain an interest in teaching, and I'm currently an Associate Instructor on the 6 week Artificial Intelligence Programme offered by the University of Oxford, where I guide participants through practical AI applications.
I’ve worked across startups and large organisations, taking ideas from early exploration through to production. My work has spanned recommendation systems, predictive modelling, computer vision, and optimisation problems, with a consistent focus on delivering value in real-world settings. Along the way, I’ve led teams ranging from small, high-impact groups to cross-functional enterprise teams, helping scale solutions and navigate technical and organisational trade-offs.
This space is where I share what I’ve learned building AI and ML systems in practice: best practice for putting these systems into production to making them useful in real business contexts. It’s aimed at the people trying to make these initiatives succeed, technically and strategically.
Outside of work, I’m a (tired) parent of three, an ocean lover with too many surfboards, and a keen photographer.