WBG Pioneer - LSMS Survey Innovation Fellow

The WBG Pioneer LSMS Survey Innovation Fellow will support a randomized survey experiment in Nepal to improve measurement of household business performance and reduce information constraints faced by informal enterprises. The role offers practical experience in survey methodology, field experiment implementation, data quality monitoring, and applied quantitative research within the World Bank's Development Economics Survey Unit.

Responsibilities

• Support an ongoing randomized survey experiment in Nepal designed to strengthen measurement of household business performance and test approaches to reducing information constraints faced by informal enterprises.
• Contribute to the World Bank’s research agenda on improving measurement of household business performance and understanding information constraints affecting enterprise outcomes.
• Support questionnaire refinement, survey implementation, data quality monitoring, management and analysis of survey and digital diary data.
• Construct outcome measures and compare alternative approaches to measuring household business performance.
• Contribute to research outputs and develop an independent research question using project data in consultation with the research team.

Requirements

• Currently enrolled in, or in the final year of, a relevant master’s or PhD program.
• At least 3 years of relevant professional experience.
• Academic background in economics, public policy, statistics, data science, development studies, or a related field.
• Strong analytical, quantitative, research, and problem-solving skills.
• Proficiency in Stata, R, or Python for data cleaning, construction, and econometric analysis; and with AI/LLM tools and their application to research and data workflows is an added advantage.
• Experience or demonstrated interest in household surveys, impact evaluation, data quality, or development research.
• Strong written and verbal communication skills in English; knowledge of Nepali would be an asset.
• Must meet No-Fee Internship eligibility criteria as specified by the World Bank Group.

Skills

• Econometrics
• Quantitative Research
• Data Cleaning
• Survey Methodology
• Impact Evaluation
• Data Quality Monitoring
• Applied Quantitative Research
• STATA
• Python
• AI Tools Usage
• Household Surveys
• Randomized Survey Experiments
• Research Data Workflows
• Development research

Languages

English