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

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).

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