IFIB-ACT-SACT-25-01_#10_DATA SCIENTISTAI ENGINEER (FOCUS WARGAMING INTEGRATION)

Duties/role

• 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.
• 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.

Skills, Knowledge, Experience Required

• 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).
• 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).