Lead Data Scientist

Greyparrot is addressing the global waste crisis by increasing transparency and automation in waste management. They are seeking a Lead Data Scientist to transform raw computer vision outputs into actionable insights, ensuring timely delivery of analytics to clients while developing a robust statistical methodology for waste metrics.

Responsibilities:

• The next iteration of Greyparrot's statistical modelling framework is implemented; strengthening how we reconcile process flows, extrapolate across coverage gaps, and quantify confidence in outputs. At 12 months, a credible path toward a confidence-aware, probabilistic foundation is underway. The methodology is documented, defensible, and ready to be productionised by ML Ops
• Deepnest clients receive their analytical reports and insight outputs to a consistently high standard and on schedule. The methodology behind the numbers is defensible, the findings are actionable, and clients trust what they receive. There are no surprises at delivery
• A documented framework - templates, quality standards, methodology - exists so output quality does not depend on starting from scratch each engagement. The process is written down, transferable, and does not live in your head
• The Head of Data, R&D has a clear, consistent picture of which model outputs translate to client value. You provide that feedback loop reliably, and it shapes what gets prioritised on the research roadmap. There is no gap between what the models produce and what clients actually need