Data Scientist

Brussels, Belgium Deadline: 17-07-2026 Posted: 06-07-2026 #17131

RFQ NATO-IS 0047

Background: 

The Cyber Threat Analysis Branch (CTAB) is looking for a Data Scientist to further develop and create new artificial intelligence tools that support cyber threat intelligence production for the NATO Enterprise and Alliance.

The Joint Intelligence and Security Division (JISD), under the leadership of the Assistant Secretary General for Intelligence and Security (ASG I&S), comprises two principal pillars: Intelligence – headed by the Deputy ASG for Intelligence; and the NATO Office of Security (NOS) – headed by the Deputy ASG for Security. Intelligence is responsible for ensuring the situational awareness of the North Atlantic Council and the Military Committee, for the analysis of the indications and warnings in support of the NATO Crisis Response System and for the development of intelligence policies and capabilities for NATO. Its functional areas address: intelligence analysis and production, intelligence policy and capability development.

The joint civilian and military Intelligence Production Unit (IPU), under the JISD, delivers strategic intelligence-based analysis to support North Atlantic Council (NAC) and Military Committee (MC) decision making on strategic issues of concern. The IPU produces a range of planned and tasked intelligence products on regional issues in Eurasia, Africa and the Middle East, and on transnational issues such as hybrid warfare, terrorism, instability, weapons of mass destruction and energy security.

The Cyber Threat Analysis Branch (CTAB), under the IPU, is responsible for providing evidence-based assessments of the cyber threat landscape to empower NATO stakeholders to make risk-informed decisions. The multidisciplinary team combines all-source data with cutting edge technologies to support and enhance the Alliance leaderships’ understanding on the nature of cyber competition and conflict. CTAB systematically identifies strategic patterns and trends in cyber space and generates tailored insights to support network defence and mission assurance with predictive analysis, cyber threat intelligence, and threat hunting.

The contractor (Data Scientist) will support the work of the Cyber Threat Analysis Branch and be responsible for further developing artificial intelligence tools that aid the workflow of CTAB, from ingestion and correlation of data to the creation and dissemination of intelligence products.

Duties

  • The Cyber Threat Analysis Branch (CTAB) is looking for a Data Scientist to further develop and create new artificial intelligence tools that support cyber threat intelligence production for the NATO Enterprise and Alliance.
  • The contractor (Data Scientist) will support the work of the Cyber Threat Analysis Branch and be responsible for further developing artificial intelligence tools that aid the workflow of CTAB, from ingestion and correlation of data to the creation and dissemination of intelligence products.
  • Leading the development and deployment of (generative) artificial intelligence applications that enable intelligence analysts to better make sense of and use technical cyber threat intelligence data.
  • Push for innovative new ways to more effectively ingest, store, collate and utilize large volumes of technical cyber threat intelligence data through data science practices and artificial intelligence applications.
  • Support Branch or Unit wide requests for help in data science approaches within projects that necessitate smarter ways to handle large volumes of data.
  • The Contractor will be responsible for conducting data science projects to support NATO’s cyber threat intelligence production.
  • Enhance threat intelligence capabilities by developing AI-driven solutions and implementing data science practices for processing, enriching, and analyzing large volumes of threat intelligence data.
  • Iterate and collect feedback on prototyped applications from a variety of stakeholders to deliver production-grade applications that push CTAB’s intelligence production capabilities further.
  • Participate in team and branch calls where required by the teamlead to give status updates on projects and developments pertinent to the Contractor’s tasks.
  • Stay up-to-date on any developments within data science generally and artificial intelligence specifically that are relevant to the projects of The Contractor and to the broader Branch and Unit.
  • The Contractor shall produce the Deliverables as specified in the task order management under supervision of the NATO Project Manager.
  • The Contractor shall continuously validate any deliverables with the NATO Project Manager and peers within CTAB.
  • The Contractor shall hold periodic sessions with the NATO Project Manager to make sure that the deliverables are aligned with NATO’s expectations.
  • Contractor must implement an appropriate quality control process in order to make sure that the products which are submitted for quality review, inspection or acceptance are of acceptable quality.
  • For 2026 the Contractor will work 38 hours per week, for extensions in 2027 and 2028 the hours will be reduced to 30.4 hours per week

Requirement

  • The contractor shall be proficient in English.
  • The Contractor will require a NATO SECRET clearance.
  • A university degree from a nationally recognised/certified university in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) with substantial data science and artificial intelligence content and 2 years of specific experience – OR - at least 4 years’ experience similar to the tasks described in this SoW and relevant industry recognized certificates.
  • Knowledge of and experience in developing, prototyping and deploying production-grade generative artificial intelligence (genAI) applications, including evaluation and optimization.
  • Experience in applying advanced analytics to a variety of business or academic situations and a proven ability to synthesize complex data, as well as an understanding of modern machine learning techniques and their mathematical underpinnings, and able to translate this into organizational implications.
  • Able to program in Python, especially with AI-centric libraries such as PyTorch, TensorFLow, LangChain and Hugging Face as well as common data science tools such as pandas and scikit-learn.
  • Good communication skills, both orally and written.

Preferences

  • You love building things and are comfortable working with modern development tools and writing code collaboratively (a software development background or experience in DevOps and experience in cloud platforms such as Azure or AWS is strongly preferred).
  • Experience within cybersecurity and/or the intelligence domain is strongly preferred but not required for this role.

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