Overview
The World Bank Group’s Young Professionals Program (YPP) offers exceptional professionals the opportunity to apply their specialized technical expertise, broaden their experience, and contribute to solutions to development challenges.
Key Responsibilities
- Design and implement applied research embedded in World Bank operations, using randomized and quasi-experimental methods.
- Develop, test, deploy, and maintain data and AI applications tailored to development contexts.
- Support LEADS engagements, including portfolio design workshops, learning agendas, rapid experiments, A/B tests, and evidence-based adaptation of projects and programs.
- Assess whether evidence-backed solutions are ready to scale, require further adaptation and testing, or are not suitable for replication.
- Build predictive and analytical models that inform targeting, implementation, replication, adaptation, and scaling decisions.
- Work with administrative, survey, geospatial, satellite, text, audio, and other non-traditional data.
- Contribute to DECDI's institutional platforms and global public goods, including LEADS, ImpactAI, and MEGA.
- Apply responsible AI and sound data governance practices, including privacy and data protection, bias and robustness testing, model evaluation, reproducibility, and clear documentation of limitations.
- Produce decision-oriented outputs, including analytical products, academic papers, policy briefs, presentations, technical documentation, and training materials.
- Collaborate with government counterparts, operational teams, researchers, engineers, and field staff, and help build client capacity through workshops and training programs.
Required Experience
2-6 years of relevant professional experience in applied microeconomic research, impact evaluation, development policy, data science, machine learning, AI product development, or a closely related area. Experience in developing-country, low-connectivity, or capacity-constrained settings is an advantage.
Qualifications
A minimum of a master’s degree in economics, public policy, computer science, data science, statistics, machine learning, engineering, quantitative social science, or a closely related field.