AI Engineer Consultant
Category | Grade:Professional | CONDeadline:31 Jul 2026Job ID:594724Posted on:24 Jul 2026
Overview
Builds a reproducible data architecture for UNICEF’s foundational-learning portal, harmonizing assessment metadata and results into common tables and developing scalable extraction pipelines, reference datasets and warehouse-ready models across global and regional education sources.
Department: Data and Analytics Section
Languages
Required: English
Job Areas
- AI, Automation & Machine Learning
- Data Science & Analytics
Minimum Experience
5 years
Estimated Salary
Not available
Responsibilities
- Design a common data model for regional and global foundational-learning assessments
- Build reproducible pipelines that extract and transform assessment metadata and results
- Harmonize inconsistent structures, names and codes across reports, spreadsheets and microdata
- Create reference datasets used by the minimum viable product learning portal
- Prepare standardized tables for ingestion into UNICEF’s International Data Warehouse
- Scale processing across TIMSS, PIRLS, EGRA, EGMA, MICS and other assessment programmes
Requirements
- Master’s degree in computer science, information management, data science, public policy or a related field
- Five years of experience with data structures, analysis and pipeline development
- Experience with Azure DevOps, Docker, GitHub, R and Python
- Experience with household surveys or large-scale national or international assessment datasets
- English proficiency
Skills
Data EngineeringData ModellingData HarmonizationPipeline DevelopmentMetadata ManagementMicrodata ProcessingAssessment Data AnalysisReference Data ManagementWarehouse Integration
Tools
Azure DevOpsDockerGitHubRPythonMICSDHS
Additional info
- Remote consultancy lasting 11 months
- Application requires a CV, cover letter, financial proposal and technical proposal