Richard Scott is a Principal Data Scientist based in Adelaide with over a decade of experience applying machine learning, geoscience data analytics, and software engineering across mining and resource sectors. He has progressed from analyst/programmer roles into leadership positions at OZ Minerals and BHP, bringing practical expertise in Python, R, deep learning frameworks, AWS, and geospatial tooling like GDAL. His work spans industrial exploration problems, NLP, simulation and optimisation, and social-equity modelling through his role at The Venus Framework Group. Richard combines formal training in data science, business information management and library science with a long-standing mathematical background, enabling rigorous, reproducible approaches to messy real-world data. Colleagues know him for bridging domain science and production-grade systems—translating exploration objectives into deployed ML solutions. An atypical thread in his career is sustained engagement with sports and applied statistics, which shaped his early analytical mindset and persists in his modelling rigor.
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