The Risk Data Fellows Program<\/strong> is a 6-month work placement designed for climate and disaster risk professionals, including data scientists, geospatial analysts, and risk modelers<\/strong>. The fellowship provides an opportunity for early-career professionals from climate-vulnerable countries to work directly with World Bank Operations<\/strong>, applying data science, geospatial analysis, and innovative technologies to strengthen climate and disaster risk management.<\/p>\n Building on the success of its inaugural cohort in 2023, the Digital Earth Team<\/strong>, in partnership with the Disaster-FCV Nexus<\/strong>, is launching the second cohort<\/strong> of the program. This new round will focus on professionals from Fragile and Conflict-Affected Situations (FCV) countries<\/strong> across Africa, Europe, and the Middle East<\/strong>.<\/p>\n Length:<\/strong> 6 months (75 working days)<\/p>\n<\/li>\n Start Date:<\/strong> November 2025<\/p>\n<\/li>\n Format:<\/strong> Remote work with possible mission travel<\/p>\n<\/li>\n Extension:<\/strong> Opportunity for a second 6-month contract, based on performance<\/p>\n<\/li>\n Role:<\/strong> Fellows will serve as World Bank Short-Term Consultants (STC)<\/strong><\/p>\n<\/li>\n<\/ul>\n During the fellowship, participants will support World Bank Advisory, Analytics, and Financing activities<\/strong>, applying advanced data and risk analysis to help climate-vulnerable countries<\/strong> better prepare for disasters.<\/p>\n Applicants must be nationals or residents of one of the following FCV countries:<\/p>\n Burkina Faso<\/p>\n<\/li>\n Burundi<\/p>\n<\/li>\n Cameroon<\/p>\n<\/li>\n Chad<\/p>\n<\/li>\n Comoros<\/p>\n<\/li>\n Democratic Republic of Congo<\/p>\n<\/li>\n Republic of Congo<\/p>\n<\/li>\n Ethiopia<\/p>\n<\/li>\n Guinea-Bissau<\/p>\n<\/li>\n Iraq<\/p>\n<\/li>\n Kosovo<\/p>\n<\/li>\n Lebanon<\/p>\n<\/li>\n Mali<\/p>\n<\/li>\n Mozambique<\/p>\n<\/li>\n Niger<\/p>\n<\/li>\n Nigeria<\/p>\n<\/li>\n Somalia<\/p>\n<\/li>\n South Sudan<\/p>\n<\/li>\n Sudan<\/p>\n<\/li>\n Syrian Arab Republic<\/p>\n<\/li>\n S\u00e3o Tom\u00e9 and Pr\u00edncipe<\/p>\n<\/li>\n Zimbabwe<\/p>\n<\/li>\n<\/ul>\n Fellows will support World Bank project teams with customized expertise across the following thematic areas:<\/p>\n Ensure data governance and compliance with international standards<\/p>\n<\/li>\n Assess data quality and readiness for new projects<\/p>\n<\/li>\n Provide advisory support on data needs, collection, and management<\/p>\n<\/li>\n Train project teams on best practices in data readiness and governance<\/p>\n<\/li>\n<\/ul>\n Collect, clean, and manage large datasets from diverse sources<\/p>\n<\/li>\n Perform statistical and geospatial analyses to identify patterns and trends<\/p>\n<\/li>\n Translate complex data into actionable policy insights<\/p>\n<\/li>\n<\/ul>\n Develop data storytelling<\/strong> strategies for diverse audiences<\/p>\n<\/li>\n Design interactive data visualizations, dashboards, and reports<\/strong><\/p>\n<\/li>\n Conduct workshops and trainings on effective data communication<\/p>\n<\/li>\n Advocate for evidence-based decision-making through accessible data<\/p>\n<\/li>\n<\/ul>\n Apply machine learning<\/strong> to Earth Observation (EO) data<\/p>\n<\/li>\n Develop models for land cover classification, change detection, and environmental monitoring<\/p>\n<\/li>\n Integrate EO data with World Bank projects to strengthen climate resilience<\/p>\n<\/li>\n Explore innovative uses of AI for climate and disaster risk management<\/p>\n<\/li>\n<\/ul>\n Build and manage a Risk Data Library<\/strong> using the Risk Data Library Standard (RDLS)<\/strong><\/p>\n<\/li>\n Ensure quality, accessibility, and compliance of data repositories<\/p>\n<\/li>\n Support project teams and external partners in using risk datasets effectively<\/p>\n<\/li>\n Enhance collaboration through standardized, open-access data practices<\/p>\n<\/li>\n<\/ul>\n Applicants should meet the following qualifications:<\/p>\n Master\u2019s or PhD degree (or current enrollment in a graduate program) in fields such as climate change, disaster risk management, geospatial technologies, computer science, civil engineering, or related disciplines<\/strong><\/p>\n<\/li>\n Proven expertise in data science, geospatial analytics, or digital technologies<\/strong> for disaster risk management<\/p>\n<\/li>\n Experience with data platforms, models, and standards<\/strong><\/p>\n<\/li>\n Strong analytical, research, and problem-solving skills<\/p>\n<\/li>\n Ability to work independently and manage multiple tasks under tight deadlines<\/p>\n<\/li>\n Excellent written and verbal communication skills, including experience with data visualization and digital storytelling<\/strong><\/p>\n<\/li>\n Fluency in English and ability to work in multicultural environments<\/p>\n<\/li>\n<\/ul>\n Opportunity to work as a World Bank Short-Term Consultant (STC)<\/strong><\/p>\n<\/li>\n Direct involvement in climate and disaster risk management projects<\/strong> in FCV countries<\/p>\n<\/li>\n Hands-on training and mentoring from the World Bank Digital Earth Team<\/strong> and the Global Facility for Disaster Reduction and Recovery (GFDRR)<\/strong><\/p>\n<\/li>\n Professional growth in data science, geospatial analysis, and climate resilience<\/strong><\/p>\n<\/li>\n<\/ul>\n Interested candidates must submit their applications by September 26, 2025<\/strong> through the official application form. Applications sent via email will not be considered.<\/strong><\/p>\n To learn more about the first cohort of Risk Data Fellows, please watch the following short video:\u00a0GFDRR Risk Data Fellows 2023\u2014Impacting their Communities.<\/a><\/p>\n Click here to apply.<\/strong><\/a><\/p>\n More information:\u00a0Risk Data Fellows \/ Short Term Consultant (STC) \/ Terms of Reference<\/a><\/p>\n For more information or inquiries, please contact:<\/p>\n Andrea Garcia<\/strong> \u2013 agarciatapia@worldbank.org<\/a><\/p>\n<\/li>\nFellowship Duration and Structure<\/h2>\n
\n
Eligible Countries<\/h2>\n
\n
Fellowship Roles and Key Responsibilities<\/h2>\n
1. Data Readiness & Advisory<\/h3>\n
\n
2. Risk Data Analytics<\/h3>\n
\n
3. Risk Data Communication<\/h3>\n
\n
4. Machine Learning & Earth Observation<\/h3>\n
\n
5. Risk Data Sharing<\/h3>\n
\n
Selection Criteria<\/h2>\n
\n
Fellowship Benefits<\/h2>\n
\n
How to Apply<\/h2>\n
\n