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, multimodal 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 evaluating models across different data types, ensuring explainability and robustness, while also exploring and leveraging latest Artificial Intelligence advancements.

Functions / Key Results Expected

As an intern within the SGIM Innovation Team, 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 usability

• Continuously improving machine learning models, including but not limited to text and image analysis, classification, similarity search, and named entity recognition

• Interacting with business users to define the scope and business case

• Developing and applying technologies such as machine learning, and deep learning algorithms to enable advanced analytics product functionality

• Identifying valuable data sources and improve efficiency in collection, processing and analysis tasks

Qualifications and Experience

• University degree in data science, computer science with a relevant specialization, or a related field such as applied mathematics, statistics or computational science.

• Demonstrated skills in analytic language Python

• Experience in machine learning methodologies (e.g. supervised and unsupervised learning, deep learning etc.) and understanding of large language model and multimodal model concepts

• Knowledge of popular machine learning libraries and frameworks, such as PyTorch, Transformers, 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.