Intern - Data and Information Management and AI

The Intern will support the Division of Agribusiness and Infrastructure Development (IET/AGR) by assisting in data and information management tasks including collection, organization, and analysis of project information, preparation of knowledge products, and support for communication and outreach activities. The internship provides on-the-job training and exposure to UNIDO's core functions in sustainable industrial development.

Responsibilities

• Support the collection, organization, and standardization of technical cooperation project information and contribute to maintaining structured project records and knowledge repositories.
• Assist in preparing project summaries, briefing notes, lessons learned, and knowledge products, including the use of approved digital and AI-enabled tools under supervision.
• Support data analysis and reporting activities by collecting, validating, visualizing, and summarizing project-related information for management and knowledge-sharing purposes.
• Contribute to the development of prototype tracking tools, dashboards, and reporting templates to improve information accessibility and reporting efficiency across the Division.
• Assist in preparing communication and outreach materials, including presentations, success stories, case studies, and other knowledge-sharing products highlighting project results and achievements.
• Support the organization and documentation of webinars, meetings, and knowledge-sharing events, including the dissemination of key outcomes and good practices.
• Prepare an end-of-internship report, which will be submitted to and cleared by HRM.

Requirements

• Enrolled in a second level university degree programme (master's or equivalent) or higher; or begin the internship within one year of completing a second level university degree; or be enrolled in the final academic year of a first-degree programme (bachelor's or equivalent); or begin the internship within one year of completing a first level university degree. Only accredited institutions will be considered.
• Field of specialization: Data Science, Data Engineering, Statistics, or other related fields of studies relevant to the mandate of IET/AGR.
• Experience with AI is also required.
• Fluency in written and spoken English is required.
• Knowledge of another official United Nations language (Arabic, Chinese, French, Russian and Spanish) is an asset.
• Basic research, and basic data management tools such as Excel.

Skills

• Data Science
• Data Engineering
• Statistics
• Artificial Intelligence
• Data Management
• Research
• Excel
• Knowledge Product Preparation
• Information Collection
• Data Analysis
• Communication Support
• Outreach Support

Languages

English