Data and Research Intern

Key responsibilities

Support data collection from women participants, community partners, and savings groups.
Clean and organise quantitative and qualitative data from surveys, interviews, focus groups, and partner reports.
Assist in building the 5,000-woman status and insights base.
Support analysis of women’s income patterns, savings behaviour, enterprise barriers, digital access, care responsibilities, and health-related financial pressures.
Assist in preparing research summaries, dashboards, learning briefs, and internal reports.
Support ethical data handling, consent documentation, anonymisation, and secure data storage.
Ideal candidate

Background in statistics, economics, public health, gender studies, data science, development studies, or a related field.
Comfortable working with Excel, Google Sheets, Kobo, ODK, STATA, R, Python, Power BI, or similar tools.
Strong attention to detail and interest in women’s economic opportunity and health equity.
Check how your CV aligns with this job

Method of Application
Cross-Cutting Requirements for All Interns
All applicants should demonstrate:

Strong interest in women’s economic opportunity, gender justice, financial inclusion, and health equity.
Respect for community knowledge, lived experience, and ethical data practices.
Ability to work with low-income women and grassroots partners with dignity and sensitivity.
Good writing, documentation, and communication skills.
Fluency in English and Swahili.
Ability to work independently and as part of a multidisciplinary team.
Willingness to learn and work across research, programme implementation, technology, and community engagement.
What Interns Will Gain

Interns will gain practical experience in:
Community-rooted AI and NLP for African languages.
Women’s financial inclusion and lending readiness.
Participatory research and data collection.
Responsible AI, data governance, and ethical use of community data.
Programme implementation with grassroots women’s organisations.
Translating research and data into practical tools for low-income women.
Working at the intersection of gender justice, economic opportunity, health, and technology.