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People and Culture Specialist, P3, Kingston, Jamaica, Temporary Appointment (364 days) in 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.
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Machine Learning Engineering Consultant, Data and Analytics, DAPM, NYHQ, remote. Req# 585424 in 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
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MICS Programme Analytics and Performance Monitoring Consultant, DAPM, Data & Analytics Section - Data Collection Unit, NYHQ, remote. Req# 585422 in 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.
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Sampling Consultant for Multiple Indicator Cluster Surveys, DAPM, Data & Analytics Section - Data Collection Unit, NYHQ, remote. Req# 585420 in 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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Ensuring Health and Demographic Data Continuity: the Role of MICS in a Changing Global Survey Landscape, Data & Analytics Section - Data Collection Unit, DAPM, NYHQ. Req# 585416 in United States
UNICEF’s Multiple Indicator Cluster Surveys (MICS)—implemented in over 120 countries and aligned with 22 of 23 SDG indicators previously monitored through DHS—represent one of the world’s leading sources of internationally comparable data on children and women. In this evolving context, there is a growing expectation that MICS could play an expanded role in addressing the data gaps left by DHS. However, this potential requires careful assessment of both external opportunities and internal readiness, including questions of institutional capacity, financial sustainability, and strategic prioritization. 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. This assignment will produce an evidence-based analysis and a strategic framework to guide UNICEF’s decisions on the internal investments, partnerships, and operational adjustments required to strengthen MICS’s position within the global data ecosystem. It will be conducted in alignment with the ISWGHS Task Force on Sustainable Demographic and Health Statistics and UNICEF’s Global Data Strategy, ensuring that all recommendations are grounded in principles of national ownership, complementarity, and sustainability.
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