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Geospatial Data Science Intern

Job in 2490, Den Haag, Netherlands
Listing for: Qabird
Full Time, Apprenticeship/Internship position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    AI Engineer, Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 EUR Yearly EUR 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Geospatial Data Science Intern – 260154 Primary Location

Netherlands – The Hague

NATO Body

NATO Communications and Information Agency (NCIA)

Schedule

Full-time

Final date to receive applications

08-Mar-2026, 7:59:00 PM

Salary (Pay Basis)

1,477.30 Euro (EUR) Monthly

Grade

INTERN

Description

For more than 75 years, NATO’s mission has been to preserve peace and security in the Alliance for nearly one billion citizens. The NATO Communications and Information Agency (NCIA) is NATO’s technology and cyber hub. We are a team of 3,400 civilian and military staff, working together to connect all corners of NATO and maintain its edge from 30 locations across the Alliance.

We are a key partner in NATO's Digital Transformation, working hand in hand with industry to provide technical solutions and expertise, facilitating political consultations and decision-making, and enabling multi-domain operations.

Our experts provide secure static and deployable communications infrastructure, satellite communications and information technology services, connect the Alliance’s forces, and strengthen NATO’s defence and deterrence posture. Fulfilling NCIA’s missions is possible because of our greatest force, our people. In order to reinforce NATO’s edge, we aim to hire, train and retain the very best staff.

Our staff members represent both the diversity and unity of our Alliance. When you join NCIA, you will be part of an organization where you can contribute authentically to the mission and purpose of NATO and help us ensure seamless connectivity among Allied partner nations.

About the Program

The NCIA internship is a 6‑month program based at one of our key hubs in The Netherlands, Belgium or Portugal. Our internship opportunities start from either 1 March or 1 September with the start date being dependent on the timeline to secure the required security clearance to work within the NATO community.

During an internship, you will join and support a diverse international team and simultaneously learn from our experts via on‑job training, working independently on purposeful projects or initiatives during your tenure.

About the Internship

Internship duration: 6 months

Location:

The Hague, Netherlands

The Chief Technology Office (CTO) is the key enabler of NATO’s digital transformation. This office is a cornerstone for the NCIA’s work to advance NATO’s information communications technologies (ICT) that are critical to maintain NATO’s technological edge. With NCIA’s scientists, architects and engineers, CTO is the hub for architecting and designing NATO’s ICT technical landscape while considering innovation, standardization, and coherence across the Alliance.

The Geospatial Data Science Intern will support the Data Science and AI team on projects involving space‑based imagery and geospatial datasets. Responsibilities include exploring geospatial analytics tools, labeling datasets, designing workflows to enhance AI models, and conducting detailed analyses using GIS platforms, Python frameworks, and cloud computing tools. You will present findings through reports and visualizations, stay informed about advancements in geospatial science and AI, and follow security best practices when handling sensitive data.

The internship provides hands‑on experience in geospatial analytics, model development, and data processing, making it an ideal opportunity for candidates with backgrounds in data science, computer science, or geographic information systems.

About you

The valuable knowledge and experience that you bring to this role is:

  • Data science – Under guidance, applies given data science techniques to data. Analyses and reports findings and remediates simple issues, using algorithms implemented in standard software frameworks and tools.
  • Data visualisation – Uses a visualisation product, as guided, to design and create data visuals. Selects appropriate visualisation techniques from the options available. Engages with the target user to prototype and refine specified visualisations.
  • Machine learning – Applies given machine learning techniques to data, under the guidance of technical leadership. Analyses and reports findings and remediates simple issues using…
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