Data Interns – DTII at InSupply Health

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

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

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

AI & Innovation

• Support the design and testing of AI-driven solutions
• Pilot and validate innovative data use approaches
• Document learnings and identify improvement opportunities

Forecasting & Supply Chain Analytics

• Support demand forecasting and supply chain analytics initiatives

Capacity Building & Data Use

• Support training and mentorship initiatives
• Promote a data-driven culture among stakeholders

Stakeholder Engagement

• Support the planning and coordination of workshops
• Provide logistical and technical support during engagements

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