The International Potato Center (CIP) is looking for a Data & AI Analyst to join their team in Nairobi. This role is focused on bridging the gap between agricultural research and modern AI capabilities. You will design and build automated data solutions, interactive maps, and advanced data visualizations for digital platforms, including Varscout and other applications.
Key Responsibilities
Data Visualization & Dashboards: Design and build automated dashboards, interactive maps, and advanced data visualisations for CIP digital platforms.
AI Integration: Develop APIs, MCP servers, and custom integrations to connect CIP knowledge assets with AI-powered tools such as Digital Green’s Farmer.Chat and other conversational AI assistants.
Platform Development: Lead the end-to-end development of the CIP Clearinghouse platform for organizing, discovering, and sharing research outputs with AI-enabled search and visualisation capabilities.
Digital Certification Systems: Design and implement digital, AI-based certification systems (e.g., Potato Zero and Mulching initiatives), including data collection workflows and compliance verification systems.
Database Management: Develop and manage databases, ensure proper data architecture, and support data integration across platforms.
Collaboration: Collaborate with researchers, project teams, and external partners to translate requirements into scalable technical solutions.
Infrastructure & Security: Ensure secure, efficient, and scalable digital infrastructure aligned with CIP’s digital policies and standards.
Machine Learning: Contribute to machine learning model development and deployment where applicable.
Documentation: Provide technical documentation, user guidance, and knowledge transfer to internal teams.
Innovation: Stay up to date with emerging AI, data engineering, and digital transformation trends relevant to agricultural research.
Requirements
Bachelor’s degree in Computer Science, Systems Engineering, or a related field.
At least three (3) years of practical experience in full-stack software development.
Strong experience in API development, database integration, and data engineering.
Proven experience building dashboards and data visualization tools.
Experience working with cloud infrastructure and scalable digital systems.
Knowledge or experience in machine learning and AI engineering is an added advantage.
Strong analytical and problem-solving skills.
Professional proficiency in English (written and oral).
Ability to work independently and collaboratively in multidisciplinary and multicultural environments.
.jpg){kind=logo}
