Data Science Series Jobs in International Development

Browse international development jobs in the Data Science Series sector. Roles are posted daily from UNDP, UNICEF, WHO, ReliefWeb, and 200+ other sources.

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FAQs — Data Science Series jobs in international development

What qualifications do I need for Data Science Series jobs in international development?

Most Data Science Series positions require a relevant master's degree, 3–7 years of field experience, and strong written English. French or Spanish is often required for francophone Africa or Latin America programmes. Specialised certifications (e.g., WASH engineering, epidemiology) strengthen applications.

Which organisations hire Data Science Series specialists?

Key employers for Data Science Series roles include UNDP, UNICEF, WHO, WFP, FAO, the World Bank, bilateral donors (USAID, FCDO, GIZ), and international NGOs listed on ReliefWeb. Dev Procure aggregates all their vacancies in one place.

Are Data Science Series jobs mostly field-based or HQ-based?

It depends on career stage. Entry to mid-level Data Science Series roles tend to be field-based in developing countries; senior advisory, policy, and research positions are more commonly based in Geneva, New York, Washington D.C., or London.