Overview
The World Bank Group's Internship Program offers students hands-on experience in global development, contributing fresh perspectives and innovative ideas. This internship focuses on generating high-quality data and research to transform development policy and reduce extreme poverty.
Key Responsibilities
- Support the dissemination of impact evaluation methodology and results
- Support team members in writing well-documented, reproducible code for data cleaning, descriptive statistics, regression analysis, data visualization, and any other analysis as per project needs; and/or document all data work on the project’s GitHub repository
- Manage databases, integrating various data sources (for example, project monitoring data, administrative data from local government, and household survey data). This may require programming matching algorithms, using spatial data to create linkages, performing manual matching, and linking up with field staff for additional information on specific tasks
- Conduct literature review and syntheses, contribute to impact evaluation reports and policy briefs, and support the design and development of concept notes, policy notes, or papers that synthesize research findings, provide actionable recommendations, and inform policymaking in relevant areas, among other writing and editing tasks
- Contribute to the development and implementation of field protocols for primary data collection and procedures and survey instruments, including field protocol, data quality protocol, recruitment of field staff, field staff training, and survey pilots
- Coordinate acquisition of secondary data, such as administrative data
- Support the development of instruments and diagnostic tools for data collection, such as focus groups, interviews, and surveys, as applicable
- Assist and support the design, implementation, and analysis of randomized controlled trials (RCTs) using behavioral insights approaches
- Perform other related tasks, as discussed
Required Experience
Prior background in impact evaluation and econometric analysis is a plus. Experience working in developing countries preferred and knowledge about the relevant sectors is desirable. For applicants to eMBeD: Demonstrated experience applying behavioral science concepts to real-world challenges, such as designing or evaluating behaviorally informed interventions or conducting behavioral diagnostics is preferred. Prior experience in intervention design, impact evaluation, and econometric analysis is highly desirable. Demonstrated ability and experience in designing and delivering training and capacity building activities or other teaching experience is a plus.
Qualifications
Be enrolled in a master's degree (or PhD) program in economics, public policy, statistics, computer science, behavioral sciences, or related field, with strong quantitative research skills is desirable. Knowledge of programming in Stata, R, or Python for data processing and analysis is desirable, and required for certain positions. Experience with survey programming in an ODK-based platform is desirable, and required for certain positions. Experience with machine learning, natural language processing, Shiny dashboards, and geospatial analysis is desirable, and required for certain positions. Experience coding in a team environment and using GitHub is highly desirable.
