ppWe are looking for an experienced bGeoAI Data Scientist /b to support geospatial analysis for humanitarian and disaster-response operations within a major international organisation. /ppThis is a hands‑on role at the intersection of bGeospatial AI, Remote Sensing, Earth Observation and Data Science /b, focused on turning complex spatial data into reliable information that can support real‑world operational decisions. /ph3What You’ll Work On /h3ulliBuild and maintain automated bgeospatial data pipelines using Python /b. /liliAnalyse satellite imagery and raster, vector and environmental datasets. /liliWork with bSAR and optical Earth Observation data /b. /liliDevelop and apply bgeospatial machine-learning approaches /b to flood risk, damage assessment, change detection and related operational challenges. /liliEvaluate model performance and underlying data quality. /liliInvestigate false positives and validate analytical outputs. /liliClearly communicate model uncertainty, limitations and appropriate use. /liliTranslate complex geospatial analysis into actionable information for operational teams. /liliCollaborate with technical specialists across geospatial, data and operational functions. /li /ulh3What We’re Looking For /h3ulliPractical experience with GIS and geospatial data processing.



/liliExperience working with raster, vector and/or environmental datasets. /liliExperience developing or maintaining an bautomated geospatial workflow /b, from data ingestion through processing to usable outputs. /liliExperience applying bMachine Learning to geospatial problems /b. /liliStrong understanding of model validation and data quality. /liliAbility to investigate false positives and explain model uncertainty and limitations. /liliStrong communication skills with both technical and non-technical stakeholders. /liliFluent professional English. /liliAbility to work bon-site in Brindisi, Italy /b. /li /ulh3Particularly Valuable /h3ulliFlood mapping or flood-risk analysis /liliHumanitarian or disaster-response applications /li /ulh3Interested? /h3pYou do not need experience in every area listed above. We welcome candidates with strong, transferable geospatial skills and the ability to apply them to new operational challenges. /ppIf you combine bPython, Remote Sensing, GIS and geospatial Machine Learning /b and enjoy turning complex Earth Observation data into information people can actually use, we’d like to hear from you. /p /p #J-18808-Ljbffr

📌 Data Scientist (Brindisi)
🏢 XML International
📍 Brindisi