Data Scientist

XML International; Brindisi; In loco; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

XML International seeks an experienced GeoAI Data Scientist to support geospatial analysis for humanitarian and disaster-response operations from Brindisi, Italy. The role blends Geospatial AI, Remote Sensing, Earth Observation and Data Science to turn complex spatial data into actionable information for field operations.

You will build automated workflows, analyze SAR and optical EO data, and apply machine learning to flood risk and damage assessment while validating data quality and

Competenze

• 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.
• 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.

Mansioni

• Build and maintain automated geospatial data pipelines using Python.
• Analyse satellite imagery and environmental datasets.
• Work with SAR and optical Earth Observation data.
• Develop geospatial machine-learning approaches for flood risk and damage assessment.
• Evaluate model performance and data quality.
• Investigate false positives and validate outputs.
• Communicate model uncertainty and limitations clearly to stakeholders.
• Translate complex geospatial analysis into actionable information for operational teams.
• Collaborate with geospatial, data and operations teams.

Conoscenze

Geospatial data processing

Raster data

Vector data

Automated geospatial workflow

Geospatial machine learning

Model validation

Data quality

Communication skills

English proficiency

Python

GIS software

Formazione

Bachelor's degree in a relevant field

Strumenti

Python

GIS software

Earth Observation tools

Descrizione del lavoro

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.