2025 Summer Intern, Food Security Survey Data Analyst (Masters/PhD, Hybrid or Remote)

ICF is looking for a data analyst to support the analysis of data from food security surveys conducted in U.S. Feed the Future Surveys. ICF manages the USAID-funded Surveys for Monitoring in Resilience and Food Security (SMRFS) which conducts population-based surveys (PBS) in targeted geographical areas to cover topics in agriculture, resilience, and nutrition. Once the PBS data is collected in a country, the data analysis team cleans and analyzes the data and then summarizes and interprets findings for survey report. In collaboration with the project’s Capacity Strengthening Advisor the data analysis team is responsible for strengthening capacity of USAID mission and implementing partner staff, host country government, and local civil society’s capacity to analyze and use the PBS data once collected. The data analysis team also leads ad hoc and in-depth secondary data analysis, and the intern will be encouraged to engage with the team to analytically explore research questions aligned with both SMRFS and professional development objectives.

This is a full-time, 10-week internship expected to start in early June 2025. The work may be fully remote from any U.S. location or hybrid from our Rockville, MD office. At this time, we are unable to provide relocation nor housing assistance.

Key Responsibilities:

• Develop, modify, and run Stata and R syntax to meet the needs of specific analytical objectives for survey countries
• Convert programs from Stata to R
• Explore the use of machine learning modelling techniques for project data analysis
• Attend regular internal and client meetings with SMRFS analysis team
• Work with SMRFS analysis team to develop and implement research-driven analyses to meet SMRFS project objectives
• Work with SMRFS analysis team to draft memos, white papers, and other dissemination materials based on analysis
• Participate in other ad hoc SMRFS activities as requested 

Basic Qualifications:

• Currently pursuing a Master's degree in economics, nutrition and food systems, public health, international development, statistics, survey methodology, or closely related discipline (with an anticipated graduation of August 2025 or later)

Preferred Skills/Qualifications:

• Currently pursuing a PhD in economics, nutrition and food systems, public health, international development, statistics, survey methodology, or closely related discipline (with an anticipated graduation of August 2025 or later)
• Experience with Stata and/or R statistical software
• Experience with machine learning modelling
• Experience with research and report writing
• Experience with survey data, especially population-based survey data
• Familiarity with food security, nutrition, resilience, agricultural practices data
• Foreign language skills (especially French) are highly desirable

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the ex