Internship - Data Science and Analytics

Are you passionate about data science and eager to apply your skills to real-world challenges in an international organization? The Safeguards Division of Information Management is seeking a data science and analytics intern with great analytical skills and strong interest in machine learning, particularly in the areas of large language models and generative AI. Join our team and contribute to the development of cutting-edge data science solutions.As a data science and analytics intern, you will have the opportunity to work alongside experienced data scientists to support analysts and subject matter experts in the collection and validation of safeguards relevant information. This involves a wide range of tasks, including training and monitoring text classification models, ensuring explainability and robustness, while also exploring and leveraging emerging technologies. Functions / Key Results ExpectedAs an intern within the Safeguards Division of Information Management, you will support the enhancement of analytical capabilities and be provided with a high level of professional development. Your tasks will include the following: Building rapid prototypes and proof of concepts to determine fit and usabilityContinuously improving machine learning models, including but not limited to text classification, information retrieval, and named entity extractionInteracting with business users to define the scope and business caseDeveloping and applying technologies such as machine learning, and deep learning algorithms to enable advanced analytics product functionalityIdentifying valuable data sources and automating collection processes Qualifications and ExperienceUniversity degree in mathematics, computer science or a related field with a focus on data science or artificial intelligence.If you have the following attributes and meet the eligibility criteria, we would be very interested to hear from you: Demonstrated skills in analytic language PythonExperience in machine learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.) and understanding of large language model conceptsKnowledge of popular machine learning libraries and frameworks, such as PyTorch and Hugging Face Applicant Eligibility Candidates must be a minimum of 20 years of age and have completed at least three years of full-time studies at a university or equivalent institution towards the completion of a first degree. Candidates may apply up to one year after the completion of a bachelor's, master's or doctorate degree. Candidates must not have previously participated in the IAEA's internship programme. Good written and spoken English essential; fluency in any other IAEA official language (Arabic, Chinese, French, Spanish or Russian) an asset.Candidates must attach two signed letters of recommendation to their application in order to be considered.