Geospatial Data Scientist – Energy Access Job VIDA

Engineering Jobs, VIDA Jobs.

We are looking for an enthusiastic Geospatial Data Scientist – Energy Access (d/f/m) who has borderless thinking and gets their thrills from creating scalable spatial workflows. Becoming part of our Data Solutions team means joining a journey of challenging work at the intersection of data and social impact. You’ll thrive by finding innovative solutions, thinking and experimenting in new ways to uncover fascinating insights within our development-centered projects – especially around energy – engaging directly with global customers, and making a meaningful real-life impact.

Your Responsibilities

Technical & Geospatial

• You apply VIDA’s spatial analysis tools and prepare our software for real-life projects, energy access planning
• 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.
• You facilitate workshops, trainings, and meetings to ensure alignment and adoption of project outcomes.
• You contribute GIS-based analytical work specifically for energy access projects in developing countries, translating geospatial insights into practical planning recommendations.

Requiremements

• 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 analysis 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, especially in developing countries, with experience in topics such as rural electrification, least-cost electrification, mini-grid viability, SHS, and related planning approaches.
• Proven Geographic Information Systems (GIS) analytical experience specifically applied to energy access.
• Proficiency in Python for geospatial data analysis (e.g. geopandas, shapely, rasterio, gdal).
• 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 English (oral and written).
• Comfort and initiative in adopting AI tools (e.g., for coding, analysis, or documentation) as part of daily workflows to enhance efficiency and innovation.

How to Apply

Click here to apply