GeoAI Data Scientist

XML International; Italia; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

XML International is seeking a Senior Geospatial Data Scientist to develop GeoAI solutions that transform Earth Observation data into actionable insights for environmental monitoring and climate resilience.

The role combines AI, remote sensing, cloud computing, and geospatial analytics to build predictive models, scalable data pipelines, and interactive geospatial applications for high-impact environmental initiatives. On-site in Brindisi, with applications welcome from across Italy.

Competenze

• Master's or PhD in Geomatics, Remote Sensing, Environmental Science, Engineering, Computer Science, or a related quantitative discipline.
• Strong experience developing Machine Learning or Deep Learning solutions using geospatial data.
• Advanced Python programming skills.
• Hands-on experience with Google Earth Engine (GEE).
• Experience working with Google BigQuery.
• Experience with PostgreSQL/PostGIS.
• Experience using QGIS or ArcGIS Pro.
• Strong understanding of Remote Sensing and Earth Observation.
• Professional English communication skills.

Mansioni

• Design and develop machine learning and deep learning models for environmental monitoring and natural hazard assessment.
• Build predictive models for change detection, time-series analysis, and land-use dynamics.
• Transform complex geospatial data into actionable intelligence.
• Develop Web GIS applications and interactive dashboards as needed.
• Mentor teammates and share GeoAI best practices.

Conoscenze

Geospatial ML/DL

Python

GEE

BigQuery

PostGIS

QGIS/ArcGIS

Remote sensing

English communication

Formazione

Master's or PhD in Geomatics/Remote Sensing/Environmental Science/Engineering/CS

Strumenti

Google Earth Engine

Google BigQuery

PostgreSQL/PostGIS

QGIS

ArcGIS Pro

Descrizione del lavoro

Senior Geospatial Data Scientist | GeoAI | Earth Observation

Applications welcome from across Italy | On-site in Brindisi

On-site role based in Brindisi. Applications are welcome from candidates across Italy who are willing to relocate or work on-site.

Help Build AI Solutions for Climate Resilience and Environmental Intelligence

We are looking for an experienced Senior Geospatial Data Scientist to develop innovative GeoAI solutions that transform Earth Observation data into actionable insights for environmental monitoring, climate resilience, and natural hazard assessment.

This role combines Artificial Intelligence, Remote Sensing, Cloud Computing, and Geospatial Analytics to build predictive models, large-scale data pipelines, and interactive geospatial solutions supporting high-impact environmental initiatives.

If you're passionate about GeoAI, satellite imagery, machine learning, and solving global environmental challenges, we'd love to hear from you.

What You'll Do

GeoAI & Data Science

• Design and develop machine learning and deep learning models for environmental monitoring and natural hazard assessment.


• Build predictive models for change detection, time-series analysis, and land-use dynamics.


• Transform complex geospatial data into actionable intelligence.

Earth Observation & Remote Sensing

• Integrate data from Sentinel-2, Landsat, SAR, LiDAR, and other Earth Observation sources.


• Process multispectral and radar imagery for environmental analysis.


• Develop workflows supporting climate resilience and disaster risk management.

Cloud Geospatial Computing

• Design and manage large-scale geospatial data pipelines.


• Work with Google Earth Engine (GEE), Google BigQuery, and cloud-native geospatial environments.


• Build scalable Raster and Vector processing workflows.

GIS & Solution Development

• Develop Web GIS applications and interactive dashboards.


• Create scalable geospatial visualization tools.


• Support stakeholders by translating complex scientific outputs into intuitive applications.

Technical Leadership

• Provide technical leadership across multidisciplinary projects.


• Mentor team members and support best practices in GeoAI and geospatial analytics.


• Collaborate with international technical teams and domain experts.

What We Are Looking For

Required Qualifications

• Master's or PhD in Geomatics, Remote Sensing, Environmental Science, Engineering, Computer Science, or a related quantitative discipline.


• Strong experience developing Machine Learning or Deep Learning solutions using geospatial data.


• Advanced Python programming skills.


• Hands-on experience with Google Earth Engine (GEE).


• Experience working with Google BigQuery.


• Experience with PostgreSQL/PostGIS.


• Experience using QGIS or ArcGIS Pro.


• Strong understanding of Remote Sensing and Earth Observation.


• Professional English communication skills.

Preferred Qualifications

• TensorFlow or PyTorch.


• Experience working with climate, environmental, or disaster management projects.

What We Offer

• Opportunity to work on cutting-edge GeoAI and Earth Observation projects.


• Contribute to climate resilience, environmental monitoring, and disaster risk management initiatives.


• Access to modern cloud-based geospatial technologies.


• Collaborative international environment.


• Professional growth through innovative geospatial and AI projects.