The International Atomic Energy Agency (IAEA) is offering a 12-month Internship in Data Science and Analytics based at its headquarters in Vienna. This opportunity is hosted within the State Infrastructure Analysis Section (SGIM) and is designed for students and recent graduates seeking practical experience in a global, high-impact organisation. The internship aims to bridge academic knowledge with real-world application, enabling participants to contribute to international nuclear safeguards while developing technical and professional skills. The application deadline is 20 April 2026. Purpose of the Internship Programme The IAEA internship programme is structured to benefit both participants and the organisation. Its primary objectives include: Providing hands-on work experience aligned with academic studies or career interests Offering exposure to the operations of the IAEA and the broader United Nations system Supporting organisational programmes through the contribution of skilled and motivated interns Internships typically range from three months to one year, with this specific role extending to a full 12-month duration. Organisational Context The internship is situated within the Department of Safeguards, a core division of the International Atomic Energy Agency. This department functions as the global nuclear inspectorate, working to prevent the spread of nuclear weapons and ensure that nuclear materials are used solely for peaceful purposes. Key responsibilities of the department include: Conducting inspections across more than 180 States Verifying nuclear materials and activities Analysing safeguards-relevant data and information Supporting international compliance with nuclear agreements Within this framework, the Division of Information Management (SGIM) plays a critical role by applying advanced analytical techniques to process and evaluate diverse data sources. Role and Responsibilities The internship focuses on data science and analytics, with a strong emphasis on emerging technologies such as Machine Learning and Generative AI. Interns will work alongside experienced professionals to develop innovative solutions that enhance analytical capabilities. Key responsibilities include: Building prototypes and proof-of-concept models Improving machine learning systems for text and image analysis Conducting classification, similarity search, and named entity recognition tasks Collaborating with internal stakeholders to define project requirements Identifying and integrating valuable data sources Enhancing efficiency in data collection, processing, and analysis Interns are expected to contribute to cutting-edge developments while ensuring robustness, accuracy, and explainability in their models. Skills and Technical Requirements Applicants should possess a strong academic background and technical proficiency in relevant fields. Preferred qualifications include: A degree in data science, computer science, or related disciplines such as statistics or applied mathematics Proficiency in the Python programming language Knowledge of machine learning techniques, including supervised, unsupervised, and deep learning methods Familiarity with large language models and multimodal systems Experience with industry-standard tools is highly desirable, including: PyTorch Transformers Hugging Face These skills enable interns to effectively contribute to advanced analytics and AI-driven projects. Eligibility Criteria To qualify for the internship, candidates must meet the following requirements: Be at least 20 years old Have completed a minimum of three years of full-time university study Be currently enrolled in a degree programme or have graduated within the past year Have no prior participation in the IAEA internship programme Additional requirements include: Strong written and spoken English skills Knowledge of other official IAEA languages (Arabic, Chinese, French, Spanish, or Russian) is an advantage Submission of two signed letters of recommendation Professional Development and Learning Outcomes The internship offers significant opportunities for growth and skill development. Participants will: Gain exposure to real-world applications of data science in an international security context Work with experts in nuclear safeguards and information analysis Develop technical expertise in AI and advanced analytics Strengthen problem-solving and collaboration skills This experience prepares interns for careers in data science, international organisations, and technology-driven sectors. Conclusion The Data Science and Analytics Internship at the International Atomic Energy Agency represents a unique opportunity to apply advanced technical skills in a meaningful global context. By contributing to nuclear safeguards and leveraging cutting-edge technologies, interns play a role in supporting international peace and security. With its combination of technical challenges, professional mentorship, and global exposure, the programme is well-suited for aspiring data scientists seeking to make an impact beyond traditional industry roles. VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram, WhatsApp, Twitter, LinkedIn and WPChannel Disclaimer: Global South Opportunities (GSO) is not the organization offering the internship. For any inquiries, please contact the official organization directly. Please do not send your applications & CVs to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.