Data Internship Opportunities – DTII at inSupply Health
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