Data Interns – DTII
Department/Unit: Data Transformation Intelligence and Impact
Posting Date: Apr 20, 2026
Application Deadline: Monday 27, April 2026
Position Type: 6 Months Internship
Reports to: Regional Manager
Location: Nairobi, Kenya and Dar Es Salaam, Tanzania
Organization Overview:
inSupply Health is an East African health advisory firm that designs people-centered, scalable, sustainable supply chain solutions. We focus on optimizing data visibility and use, workforce development, and continuous performance improvement. inSupply operates as a social enterprise, aiming for business sustainability while achieving our social mission. We aim to transition short-term supply chain fixes into sustainable solutions that transcend specific projects or funding streams. Our work focuses on democratizing access to quality, affordable, contextualized supply chain learning and innovations so local and regional supply chain actors can improve the performance and efficiency of their supply chains and health systems towards better health outcomes.
inSupply Health is headquartered in Nairobi, with an office in Dar es Salaam and is affiliated with JSI Research & Training Institute, Inc. (JSI). Our team of dynamic local consultants works closely with public and private sector clients to design optimized, responsive and resilient supply chain systems that deliver essential health products such as antimalarial and HIV medications, vaccines and contraceptives in complex settings. We pioneer innovative approaches by taking proven methodologies from the commercial sector to adapt them for the context, but also co-create solutions with our clients so they can own, implement and continuously improve their systems independently in the long term.
Job Summary
We are seeking a technically strong and highly motivated DTII Intern to support our Digital Transformation, Intelligence & Impact function.
This role is ideal for individuals passionate about data, technology, and solving real-world health system challenges. You will gain hands-on experience in data engineering, analytics, AI applications, and digital tool development within a dynamic and impact-driven environment
Key Responsibilities
1. Data Engineering & Systems Integration
- Develop and maintain scripts (Python, R, SQL) to automate analysis and reporting
- Support integration with health information systems (e.g., DHIS2, eLMIS)
- Perform data extraction, cleaning, and transformation
- Maintain code repositories and technical documentation
2. Data Analysis & Visualization
- Analyze datasets and generate actionable insights
- Develop dashboards and visualizations (Power BI, Tableau, web tools)
- Support the development of web-based tools using React.js and FastAPI
3. AI & Innovation
- Support the design and testing of AI-driven solutions
- Pilot and validate innovative data use approaches
- Document learnings and identify improvement opportunities
4. Forecasting & Supply Chain Analytics
- Support demand forecasting and supply chain analytics initiatives
5. Capacity Building & Data Use
- Support training and mentorship initiatives
- Promote a data-driven culture among stakeholders
6. Stakeholder Engagement
- Support the planning and coordination of workshops
- Provide logistical and technical support during engagements
7. Project Coordination
- Assist with team meetings, documentation, and reporting
- Support internal coordination and activity tracking
Minimum Requirements
Education
- Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or related field
Technical Skills
- Proficiency in Python or R
- Working knowledge of SQL and databases
- Basic frontend development (React, JavaScript/TypeScript)
- Exposure to backend frameworks (FastAPI, Flask, etc.)
- Experience with data visualization tools (Power BI, Tableau)
- Familiarity with Git (GitHub/GitLab)
Experience
- Exposure to AI/ML tools is an added advantage
Key Competencies
- Strong analytical and problem-solving skills
- Attention to detail
- Ability to communicate technical concepts clearly
- Strong organization and multitasking ability
- Eagerness to learn and adapt in a fast-paced environment
What You Will Gain
- Hands-on experience in real-world health data systems
- Exposure to AI, analytics, and digital transformation projects
- Mentorship from experienced professionals
- Opportunity to contribute to impactful health system improvements
How to Apply:
Interested and qualified applicants should click on the link below and apply through the online application form no later than Monday 27, April 2026.
Data Interns (Kenya & Tanzania)
inSupply is an Equal Opportunity, Affirmative Action Employer committed to workplace diversity. Women and minority candidates are encouraged to apply.
inSupply does not charge a fee at any stage of its recruitment process and only shortlisted candidates shall be contacted using the company’s email address.