Organizational context: The International Organization for Migration (IOM), established in 1951, is a UN-related agency dedicated to promoting humane and orderly migration. It supports governments and migrants by saving lives, protecting people on the move, and facilitating pathways for regular migration. The organization fosters an inclusive and supportive workplace to harness the full potential of migration.
Job purpose: This internship within the Displacement Tracking Matrix (DTM) AKO unit in London aims to attract talented students and graduates interested in migration and data analysis. The role supports the quality control of DTM's global analytic outputs and contributes to thematic workstreams. The intern will gain practical experience in data analysis, reporting, and understanding humanitarian response contexts, contributing to IOM's mission of tracking and monitoring displaced populations and their evolving needs worldwide.
Responsibilities: The intern will provide operational reporting support to DTM Country and Regional offices. Key duties include assisting in the analysis and interpretation of data, supporting the production and quality control of DTM documents, and facilitating the logistical organization of webinars for internal and external updates on human mobility. The role also involves coordinating with other DTM units to ensure functional workflow continuity, assisting in refining data collection methodologies and questionnaires, and providing administrative and logistical support to the London team as needed. Additionally, the intern will support technical training of staff and contribute to understanding humanitarian response contexts.
Education: A Master’s degree in fields such as Economics, Data Science, Political Science, Social Science, Development Studies, or Public Health with a strong quantitative component is required. Alternatively, a Bachelor's degree in these fields with demonstrable relevant working experience is acceptable.
Work experience: Required experience includes drafting analytic outputs and quantitative research methods. Advantageous experience includes interest in global thematic workstreams, organizing events like webinars, proficiency in R programming, GIS software (ArcGIS/QGIS), and other coding languages (e.g., Python) or relational databases.
Skills: Proficiency in Microsoft Office 365 (Excel, Word, PowerPoint). Experience in qualitative research methods. Experience with data visualization and publication software, such as the Adobe suite (Illustrator, InDesign). Fluency in English and French (oral and written) is required.
Required languages: English, French
Desired languages:
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