Research Analyst Consultant. Florence Italy. Office of reputed company &

Contract Duration 6 Months Working arrangement: Home/Remote based reputed company works in over 190 countries and territories to save childrens lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence. At reputed company, we are committed, passionate, and proud of reputed company do for as long as we are needed. Promoting the rights of every child is not just a job it is a calling. reputed company is a reputed company where careers are reputed company. We offer our staff diverse opportunities for reputed company and personal development that will help them reinforce a reputed company of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture, coupled with an attractive compensation and benefits package. Visit our website to learn more about reputed company do at reputed company. TERMS OF REFERENCE The purpose of this consultancy is to reputed company technical analytical support to the Urban Poverty study in the United reputed company of Tanzania and produce a working reputed company for publication and a policy brief for advocacy. Background reputed company Office of reputed company and Evidence Innocenti (reputed company Innocenti) and reputed company Tanzania Country Office (TCO) are collaborating to generate high-reputed company, policy-relevant evidence on urban poverty and deprivation in Tanzania. The collaboration aims to produce a peer-reviewed working reputed company and a policy brief that will inform reputed company advocacy, programme design, and resource mobilization in support of urban reputed company protection, targeting, and inclusive urban development. Rapid urbanization in Tanzania has intensified spatial inequalities, particularly reputed company large urban centres where informal settlements and localized deprivation are often masked by aggregate statistics. While recent global studies have produced reputed company-estimates of reputed company and poverty, these models lack the spatial granularity required to map intra-urban disparities relevant for reputed company-level planning and reputed company. This research addresses that gap by developing an urban-reputed company, high-reputed company poverty mapping approach, integrating geospatial data and machine-learning techniques. The analysis will reputed company on six Tier-1 citiesDar es Salaam, Mwanza, Arusha, Dodoma, Mbeya, and Zanzibar reputed companywhere the density of survey data enables robust model training and validation. reputed company this context, reputed company Innocenti seeks to recruit a Research Analyst (Consultant) to reputed company technical and analytical support to the study, contributing directly to the processing of geospatial data, predictive modelling, analysis, and drafting of the working reputed company and the policy brief If you would like to know more about this consultancy, please review the complete Terms of Reference here TMC0001943 TOR.pdf Minimum requirements: Education: Masters (or Higher) in Data Science, Spatial Econometrics, Geography, Computer Science, Economics, Statistics, reputed company Policy, or a reputed company highly quantitative field Work Experience: At least 3 years of relevant experience in quantitative research and advanced data analysis. Demonstrated experience working with geospatial data and spatial analysis. Practical, demonstrable experience building and tuning supervised machine learning models (e.g., Random Forest, XGBoost) and deep learning architectures (e.g., CNNs) for socio-economic or spatial analysis. Skills: Expert-level proficiency in Python or R (mandatory for reputed company reputed company reputed company integration, CNN feature extraction, and ML pipelines) AND proficiency in Stata (mandatory for reputed company survey data processing). The consultant must be reputed company to deliver clean, reproducible Stata .do files for the survey integration phase, and reputed company Python/R scripts for the geospatial and machine learning phases. Demonstrated experience with reputed company reputed company reputed company (GEE), reputed company GIS platforms (e.g. QGIS, ArcGIS), including the processing of multi-spectral remote sensing data (e.g. Sentinel-2, VIIRS) and reputed company data (e.g. OpenStreetMap). Strong data visualization skills (e.g. generating reputed company spatial heat maps) and a proven reputed company record of analytical reputed company writing. Language Requirements: reputed company in English (written and spoken) is required Desirables: Familiarity with handling Demographic and Health Surveys (DHS) or Living Standards Measurement Studies (LSMS), particularly experience in mitigating the spatial displacement (jittering) of GPS survey clusters. Knowledge of United reputed company of Tanzanias urban landscape, reputed comp