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At the same time, powerful analysis techniques continue to evolve for obtaining radical insights into large datasets, including finding clusters and anomalies, as well as detecting and predicting dominant trends and correlations in such data. This data intensive science comes at a crucial time for global development. Major worldwide challenges, as encapsulated in the United Nations' Sustainable Development Goals (SDGs), require multidisciplinary solutions, many of which include data science. Moreover, the South African National Development Plan (NDP) for 2030 recognises the need to \"sharpen its innovative edge and continue contributing to global scientific and technological advancement\" and \"shift to a more knowledge-intensive economy\". We therefore propose to build a training network in data intensive science between universities in southern UK and partners in southern Africa to help address these SDGs and NDP priorities. 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