We are looking for an experienced
GeoAI Data Scientist
to support geospatial analysis for humanitarian and disaster-response operations within a major international organisation.
This is a hands?on role at the intersection of
Geospatial AI, Remote Sensing, Earth Observation and Data Science
, focused on turning complex spatial data into reliable information that can support real?world operational decisions.
What You'll Work On
Build and maintain automated
geospatial data pipelines using Python
.
Analyse satellite imagery and raster, vector and environmental datasets.
Work with
SAR and optical Earth Observation data
.
Develop and apply
geospatial machine-learning approaches
to flood risk, damage assessment, change detection and related operational challenges.
Evaluate model performance and underlying data quality.
Investigate false positives and validate analytical outputs.
Clearly communicate model uncertainty, limitations and appropriate use.
Translate complex geospatial analysis into actionable information for operational teams.
Collaborate with technical specialists across geospatial, data and operational functions.
What We're Looking For
Practical experience with GIS and geospatial data processing.




Experience working with raster, vector and/or environmental datasets.
Experience developing or maintaining an
automated geospatial workflow
, from data ingestion through processing to usable outputs.
Experience applying
Machine Learning to geospatial problems
.
Strong understanding of model validation and data quality.
Ability to investigate false positives and explain model uncertainty and limitations.
Strong communication skills with both technical and non-technical stakeholders.
Fluent professional English.
Ability to work
on-site in Brindisi, Italy
.
Particularly Valuable
Flood mapping or flood-risk analysis
Humanitarian or disaster-response applications
Interested?
You 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.
If you combine
Python, Remote Sensing, GIS and geospatial Machine Learning
and enjoy turning complex Earth Observation data into information people can actually use, we'd like to hear from you.
#J-*****-Ljbffr

📌 Data Scientist (Brindisi)
🏢 XML International
📍 Brindisi