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  • Finalización Nov 03 2025

    Consultancy for supporting Early Childhood Development data assurance, analyses and global reporting, PG, ECD Section, NYHQ, remote. Req# 585428 at United States

    Aligned with UNICEF’s strategic positioning of ECD in the next Strategic Plan, the objective of this consultancy is to support the ECD Team in: (i) ensuring timely data quality assurance through internal monitoring mechanisms for UNICEF-supported and implemented ECD programmes globally in 2025; (ii) producing analytical quantitative and qualitative updates and visuals for annual and donor reporting; (iii) developing a consolidated summary report of global ECD results for the current Strategic Plan (SP) period; (iv) providing technical inputs to UNICEF progress and global reports (e.g., Global Annual Results Report GARR); and (v) extracting illustrative examples and case studies from country reports to supplement ECD 2025 result statements in reports with field stories.

  • Finalización Nov 06 2025

    People and Culture Specialist, P3, Kingston, Jamaica, Temporary Appointment (364 days) at Jamaica

    Join UNICEF in shaping the future of human resources across the Caribbean! We are seeking an experienced People & Culture Specialist (P3) to provide strategic P&C leadership and staff support across our new Multi Country Office (Belize, Jamaica, Guyana & Suriname, and the Eastern Caribbean). The incumbent will lead change management, workforce planning, and talent initiatives to ensure agile, people centered HR solutions during this transition phase. If you are passionate about driving organizational transformation, fostering staff well-being, and aligning HR strategy with UNICEF’s mission for children, we invite you to apply.

  • Finalización Nov 03 2025

    Machine Learning Engineering Consultant, Data and Analytics, DAPM, NYHQ, remote. Req# 585424 at United States

    The consultant will work in the Data and Analytics Section of the Office of Strategy and Evidence to support projects and activities related to machine learning (ML), artificial intelligence (AI), data analysis, and information extraction. In particular, the consultant will: • Maintain and optimize the vaccine stockout machine learning model already trained for UNICEF’s Program Group Immunization Division, ensuring its accuracy, performance, and sustainability. • Continue to enhance methods for large-scale data and information extraction from diverse and unstructured document sources for the West Central Africa Region Social Policy teams and the WASH Analytics team before moving to additional domains. • Support the development of automated briefs and reports generation pipelines. • Test, evaluate, and implement robust frameworks for (semi)-automated GenAI report and data quality assurance. • Contribute to geospatial (GIS) and AI-related initiatives, particularly as part of the Frontier Data Network Ahead of the Storm project. • Provide technical advice on AI/ML approaches. • Build reproducible workflows and contribute to machine learning and GenAI knowledge transfer within the team

  • Finalización Nov 10 2025

    MICS Programme Analytics and Performance Monitoring Consultant, DAPM, Data & Analytics Section - Data Collection Unit, NYHQ, remote. Req# 585422 at United States

    The Multiple Indicator Cluster Surveys (MICS) Programme is UNICEF’s flagship household survey, providing internationally comparable, statistically rigorous data on the situation of children and women. Managed globally by UNICEF’s Data Collection Unit in Data, Analytics, Planning and Monitoring Division (DAPM), MICS supports more than 100 countries with technical assistance, capacity building, and data quality assurance. With the growing number of ongoing and planned surveys, and a new funding modality centered on country resources, effective program coordination is critical to ensure the timely implementation of survey activities, efficient use of funds, and consistent coordination across regional and country offices. MICS is a national government-led activity, with UNICEF providing technical assistance and limited financial support. Given the current dramatic reduction in donor funding and constrained national fiscal space, the consultant will focus on assessing the broader financial sustainability of MICS, including funding from governments, donors, and other partners. The consultant will analyse how MICS is financed across different sources to support strategic planning and resource mobilization. The purpose of this consultancy is therefore to assess and articulate the extent to which MICS can and should respond to the changing global survey landscape, and under what conditions—institutional, technical, and financial—such an expanded role would be viable and sustainable. The work will examine how MICS could contribute to maintaining continuity in global demographic and health statistics while reinforcing existing national data infrastructures and avoiding the creation of parallel systems.

  • Finalización Nov 17 2025

    Sampling Consultant for Multiple Indicator Cluster Surveys, DAPM, Data & Analytics Section - Data Collection Unit, NYHQ, remote. Req# 585420 at United States

    As part of the MICS programme, UNICEF continues to strengthen its MICS support mechanism at all levels, so that implementing partners in countries can receive the required level of technical assistance on a timely basis at critical survey stages and are in a better position to support the implementing partner. The 7th round of the MICS programme (MICS7) was launched in March 2023 and there are already 40 planned and ongoing MICS7 surveys and potentially 20-30 more surveys in the pipeline. There are also 7 surveys from the 6th round of the MICS programme that are still in data processing or report finalisation stages. A very important element of MICS design and implementation is sampling, which is a very specialized field of work. Excellent sampling support is needed during the design, implementation, and reporting stages of all surveys. As currently there is no sufficient funding to cover all planned activities, some deliverables are planned to be completed only if additional resources become available.

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