(Full Time, Hybrid, UK)This is a fast paced opportunity working with large scale geospatial datasets with a strong climate impact focus. The Fellow will collaborate with the founding team and be mentored on climate data science by a senior data scientist.ResponsibilitiesWork with large, complex geospatial data sets, solving non-routine analysis problems and applying advanced analytical methods as needed. The Fellow will conduct end-to-end ML analysis that includes requirements specification, data gathering and processing, model tuning, validation, and structuring data-driven impact stories and presentations.Desired Qualifications- Data/ML: Experience working on computer vision, statistical inference, and multivariate analysis. Demonstrable experience in PyTorch or TensorFlow. Experience training ML models on large and noisy datasets is a plus. Experience with geospatial data (climate, weather, remote sensing) is a plus.- Tools: Experience building and training models in Python using cloud native workflows.- Social Good: Strong motivation on using the best data for social good and data driven storytelling. Prior experience writing technical blogs/articles, publishing scientific work.- Learning: Interested in working with a small team of experts building new capabilities in an agile fashion.Minimum Requirements- Currently pursuing MS/PhD in a quantitative discipline, involving experimental design and data analysis.- At a minimum, available to work part time or full time for 10-16 weeks, ideally for a longer term. This is a remote work position, with the option to hybrid work out of our London offices.- Authorized to work in the UK.Apply for the role by sending a copy of your resume to careers@sustglobal.com.