Data Scientist | World Food Programme (WFP) Jobs Nairobi

Data Scientist

Role Overview

This role builds production-ready AI and machine learning systems to forecast food insecurity, integrating diverse datasets and expert feedback to enable early warning and proactive humanitarian responses.

Key Responsibilities

• Design and deploy end-to-end machine learning inference pipelines
• Develop models to estimate and forecast food insecurity risks
• Integrate satellite imagery, real-time data, and external data streams
• Collaborate with WFP Country Offices to refine and validate models
• Coordinate with technical teams on data platform design and sharing
• Monitor and evaluate the operational impact of early warning systems
• Ensure compliance with WFP data governance, privacy, and security standards
• Maintain production-ready codebases and documentation
• Participate in field missions, technical reviews, and dissemination events

Qualifications

• Master’s degree in a quantitative field
• At least 5 years’ experience in data science or advanced analytics roles
• Strong Python skills and experience with data science libraries
• Advanced knowledge of machine learning and forecasting methods
• Experience working with SQL databases and version control (Git)
• Excellent communication skills and ability to work in diverse teams
• Fluency in English; French or Arabic is an advantage

How to Apply

Apply via  World Food Programme (WFP) on wd3.myworkdaysite.com