We’re looking for a senior geospatial scientist at Climate X to work on scaling our climate risk and natural hazard modelling to new geographic areas. Lots of distributed and large scale geospatial data and modelling challenges to solve in this role!
Apply here 
Geospatial Scientist
About the role
Solve geospatial engineering challenges: Solve problems by optimising workflows for massive global geospatial datasets: from processing terabytes of satellite imagery to scaling out a river flood model on a continental scale. You’ll help ensure that models are robust, high-performance, and able to scale seamlessly.
Champion best practices: Shape the way geospatial science gets done by creating smarter, faster approaches —whether it’s building reusable tools to validate our models or designing systems to ensure every model run is reproducible. You’ll lead the charge in making geospatial work seamless, ensuring the team can focus on solving big-picture challenges.
Build new geospatial datasets: Take ownership of transforming diverse datasets into cohesive, standardised formats, whether it’s compiling observations of wildfire occurrence, or harmonising tropical cyclone and storm surge data for detailed hazard modelling. You’ll transform raw data into analysis-ready, cloud-optimised datasets tailored for large-scale geospatial processing.
Geospatial leadership: Collaborate with hazard scientists, enhancing the complexity, precision, and scope of their modelling tasks. Enable accurate, data-driven insights for a deeper understanding of hazard dynamics across diverse environments.