Data Scientist/AI Engineer (Focus Wargaming Integration)

• Contribute to the integration of AI in NATO’s warfare development efforts, particularly wargaming.
  
• Collaborate with wargaming experts to identify key areas for AI enhancement
  
• Support the development of a roadmap for AI integration into NATO wargaming.
  
• Implement data collection and analysis methods for wargaming datasets.
  
• Develop real-time analytics and visualizations to support decision-making during wargaming simulations.
  
• Support human-machine teaming by integrating AI tools for enhanced collaboration
  
• Design and conduct experiments to test AI applications in wargaming scenarios.
  
• Document and present findings from AI integration experiments
  
• Ensure data integrity and security in all AI-related wargaming activities, considering, for example, NATO’s Principles of Responsible Use. 1
  
• Provide technical guidance to wargaming experts on AI technologies
  
• Develop analytical reports summarizing AI-enhanced wargaming exercises.
  
• Explore AI applications to automate administrative tasks.
  
• Participate in workshops, conferences, and meetings to stay updated on AI technologies.
  
• Support training development for NATO personnel on AI in wargaming.
  
• Develop multimedia content, such as short videos for wargaming scenarios or preparatory materials and explore the use of AI technologies for video generation
  
• Willingness to travel up to 30 days per year for meetings, conferences and exercises.
  
• Perform additional tasks as required by the COTR related to Data Science & AI integration
  
• As directed by the COTR, the contractor can be required to travel on official business in support of ACT both within and outside NATO’s boundaries for up to 30 days per year or as agreed. The contractor shall be responsible for completing a Contractor Travel Request Form and follow the ACT Financial Manual Chapter 24 – Contractor Travel: (https://www.act.nato.int/wp-content/uploads/2023/05/afm24.pdf) 
  

Requirements

• University degree in Data Science, Machine Learning (ML), Artificial Intelligence (AI), Computer Science, or a related field OR equivalent professional experience (minimum 4 years) in Data Science, ML, AI within the last 7 years, with at least 4 years focusing on AI capability integration (not pure development) in a professional environment (not including studies). NATO UNCLASSIFIED NATO UNCLASSIFIED IFIB-ACT-SACT-25-01
  
• At least 3 years of experience in integrating AI technologies into practical applications, particularly in decision-support, simulations, strategic planning, or operational analysis.
  
• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and AI integration techniques (e.g., API deployment, model fine-tuning, reinforcement learning).
  
• Experience using generative AI models, in particular Large Language Models (LLMs), for simulations, decision-support, or interactive environments.
  
• Demonstrated experience (minimum of 3 years in the last 8 years) in data collection, analysis, and visualization using tools such as Python, R, Tableau, or Power BI for operational insights, scenario modelling, or AI-driven decision-support.
  
• Understanding of wargaming principles and ability to analyze, propose, and evaluate AI integration opportunities at strategic, operational, and tactical levels—without requiring prior wargaming experience.
  
• Ability to communicate complex concepts effectively to non-technical stakeholders.
  
• Proven ability to work collaboratively in cross-functional and interdisciplinary teams particularly in translating AI capabilities into solutions.
  
• Experience in managing AI-related projects, including planning, execution, evaluation and experimentation.
  
• Ability to apply AI-driven multimedia tools (e.g., AI-generated video, interactive content, briefings) to enhance e.g. wargaming scenarios or decision-support.
  
• Knowledge of data security principles and best practices
  
• Proven ability to design and apply AI solutions in dynamic environments, demonstrating adaptability, critical thinking, and problem-solving in AI deployment.
  
• Awareness of and ability to address ethical or responsible use when deploying AI in sensitive environments (e.g., military, security).