VIDA (www.vida.place) is the leading software for infrastructure investors to assess climate risks, track their impact, and meet reporting requirements. Our mission is to help people understand the world we need and empower them to take swift action toward a better future. How your day-to-day will look like: Technical & Geospatial: You apply VIDA’s spatial analysis tools and prepare our software for real-life projects - these can range from energy access planning to agriculture or climate risk assessment. You improve, automate, and extend our workflows with Python and SQL scripting. You explore, pre-process and integrate new datasets and map layers into the VIDA software. You explore and implement new spatial data analysis methods, for example by using Machine Learning methods and sector-specific modelling frameworks. Documentation, Reporting & Communication: You ensure clear documentation, reporting, and communication across all project phases. You ensure project outputs (VIDA software products and reports) meet technical quality standards and are accessible to end-users. You interact with our international project partners and clients, and prepare/present your work in reports and presentations, both in English and French. You facilitate workshops, trainings, and meetings to ensure alignment and adoption of project outcomes, both in English and French. Is it you we’re looking for? You have a Master’s degree (M.Sc.) or equivalent qualification in energy / engineering / science with a focus on spatial data analysis. Minimum 3-5 years of professional experience in geospatial data analyses with knowledge of data structures, algorithms, tools, and the fundamentals of statistics and mathematics underlying data science. Minimum 1-2 years of professional experience in energy access projects and with energy sector planning tools (e.g., least-cost electrification models, demand forecasting). Proficiency in Python for geospatial data analysis (e.g. geopandas, shapely, rasterio, gdal). Experience with Geographic Information Systems (for example QGIS, ArcGIS). Excellent communication skills. You truly enjoy presenting your work to clients, engaging with them, and being part of project-delivery teams. Experience with writing technical reports around geospatial data analyses. Fluency in French (oral and written), as much as English. Comfort and initiative in adopting AI tools (e.g., for coding, analysis, or documentation) as part of daily workflows to enhance efficiency and innovation.
