Data Intern – DTII

InSupply Health, an affiliate of JSI Research & Training Institute, Inc. (JSI), is an independent, supply chain advisory firm based in East Africa that provides clients with customized guidance on supply chain management and design.

Role Overview

We are seeking a technically strong and highly motivated DTII Intern to support our Digital Transformation, Intelligence & Impact (DTII) 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.

Qualifications and Requirements

• Education: Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or a 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.
• Competencies:
  • Strong analytical and problem-solving skills.
  • High 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.