Series · 2 of 2 published
Career Development in Data and AI
A career in data and AI has stops, like a route. First you become one: what to learn, in what order, and what has changed now that AI agents can write code. Later you build one: a team and a capability inside a real organisation, with a small budget and no map. Each part is written from where I have actually been, for wherever you are on the road.
- 01The Modern Data Scientist: A Roadmap for the Age of AI AgentsThe job hasn't disappeared. The mental model has changed. Here's what the roadmap looks like for data scientists and engineers entering (or navigating) the AI agent era, with a South African lens.9 min read
- 02Building a Data Science Capability From the Ground Up: A Real Life RoadmapTwo years ago I inherited a small data science team with no handover, no documentation, and production models nobody could explain. This is the conversation I wish someone had with me before I started: the challenges, the costs, the thinking behind every move, and the one belief that carried it all. Build systems that outlive the people who built them.28 min read
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