Data Scientist for AI Opportunities & Solutions Cell for NATO with security clearance

Would you like to join the leading international intergovernmental organization?

This position supports the SHAPE J2 Capability Development (J2 CapDev) in collaboration with the NCIA CTO's Data & AI Center of Excellence (Data & AI CoE). The role is embedded within the AI Opportunities & Solutions Cell to advance space-based Intelligence, Surveillance and Reconnaissance (ISR) workflows and Related Intelligence Capability Programme Plans (CPPs).

Responsibilities:

Geospatial and ISR data science:

• Analyse near- and long-term AI opportunities with clear operational value for space-based ISR workflows.
• Prepare and curate labelled datasets for assessments, demonstrations, and analysis initiatives.
• Recommend methods to strengthen data collection and management to enhance space-based intelligence workflows
• Conduct monthly training sessions to educate stakeholders and end users on AI and geospatial data science.
• Provide technical/logistical assistance to showcase AI tools and progress during Demo Day or program demonstrations.
• Evaluate analytics capabilities and recommend actionable reports for improvement.
• Perform a review of emerging AI technologies and recommend applications for NATO's ISR capabilities.
• Shared resource: SHAPE J2 Capability Development (J2 CapDev) and NCIA CTO's Data & Ai Center of Excellence (Data & Ai CoE).

Essential Qualifications & Experience:

Data Scientist for AI Opportunities & Solutions Cell for space based Intelligence, Surveillance and Reconnaissance (ISR) and Related Intelligence Capability Programme Plans (CPPs).

Educational Background:

• A nationally recognized or certified university degree in data science, mathematics, physics, computer science, engineering, or a related field.
• Exceptionally, candidates without a university degree may qualify if they possess significant expertise (minimum 3 years) relevant to the role and duties.

Experience:

• 3+ years working on AI for imagery or geospatial analysis in production or mission environments (industry, government, or defence).
• Demonstrated expertise in artificial intelligence/machine learning workflows, including data labelling, preparation, and processing for large-scale imagery or geospatial datasets.
• Experience developing and delivering training and demo materials to mixed technical/non-technical audiences.

Technical skills:

• Python (NumPy, Pandas) and ML frameworks (TensorFlow or PyTorch).
• Data visualization tools/techniques.

Additional competencies:

• Ability to lead ideation sessions, build rapid ML prototypes, and translate operational needs into measurable model/evaluation requirements.
• Familiarity with Responsible AI principles.

Language Proficiency:

• Fluent in Business English, with strong written and verbal communication skills.

Soft Skills:

• Strong problem-solving abilities.
• Excellent teamwork, communication, and interpersonal skills.
• Experience interacting effectively with non-technical stakeholders.
• High motivation with flexibility and adaptability to new challenges.
• Creativity

If you've read the description and feel this role is a great match, we'd love to hear from you! Click "Apply for this job" to be directed to a brief questionnaire. It should only take a few moments to complete, and we'll be in touch promptly if your experience aligns with our needs.