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Who this pathway is for
A student or recent graduate in statistics, computer science, information systems, economics, social research, public health, engineering or a related field who wants practical experience working carefully with real-world data.
What to include
- A one-page CV
- A short note describing one data or research project you have completed
- Your current technical tools, even if basic, such as Excel, Python, R, SPSS, Stata, SQL, KoboToolbox or Power BI
- Your weekly availability and preferred internship duration
Location: Remote, with occasional in-person work in Kampala where a project requires it
Deadline:
This is a supervised learning role, not a generic office internship. Interns may support data validation, cleaning, transcription or structuring, documentation of data dictionaries, simple analysis, research-source checks, quality-control logs and preparation of charts or summaries. Assignments depend on active projects and are scoped so that interns do not handle sensitive information without appropriate controls.\n\nTypical duration: 8–12 weeks. Applicants do not need to know every tool listed above; evidence of careful work, willingness to learn and good documentation matters more than a long software list.
What happens next
Submit an expression of interest using the dedicated application form. This is not an offer of work or funding; confirmed openings will specify location, duration, compensation and selection criteria.
Do not send identity documents, confidential client materials or sensitive personal information with your initial application.
Apply / express interest →