Data Interns – DTII
2026-04-20T20:49:57+00:00
Private Company
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INTERN
Nairobi
Nairobi
00100
Kenya
Consulting
Computer & IT, Science & Engineering, Business Operations
2026-04-27T17:00:00+00:00
8
Background
InSupply Health, an affiliate of JSI Research & Training Institute, Inc. (JSI), is an independent, supply chain advisory firm based in East Africa that provides our clients with customized guidance on supply chain management and design.
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
- 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
- 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)
- Exposure to AI/ML tools is an added advantage
- 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
- Bachelor’s degree in Computer Science, Data Science, Statistics, Information Systems, or related field
JOB-69e691756a64b
Vacancy title:
Data Interns – DTII
[Type: INTERN, Industry: Consulting, Category: Computer & IT, Science & Engineering, Business Operations]
Jobs at:
Private Company
Deadline of this Job:
Monday, April 27 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Monday, April 20 2026, Base Salary: Not Disclosed
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JOB DETAILS:
Background
InSupply Health, an affiliate of JSI Research & Training Institute, Inc. (JSI), is an independent, supply chain advisory firm based in East Africa that provides our clients with customized guidance on supply chain management and design.
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
Work Hours: 8
Experience in Months: 36
Level of Education: bachelor degree
Job application procedure
Application Link:Click Here to Apply Now
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