26 set - Brindisi
XML International
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-*****-Ljbffr
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