Data Interns – DTII at InSupply Health

--Powermax General Electrical Merchants Ltd--

Job Description

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 

Job Industry

Data Processing, Hosting, And Related Services

Job Salary Currency

KES

Job Salary Fixed

No

Key Deliverables

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

Professional Qualifications

Industry Qualification
Data Processing, Hosting, And Related Services 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

Application Process

Close Date

27/04/2026