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Job Description & How to Apply Below
22 January 2026-23 : 59-GMT
01 : 00 Central European Time (Rome)
WFP celebrates and embraces diversity. It is committed to the principle of equal employment opportunity for all its employees and encourages qualified candidates to apply irrespective of race colour national origin ethnic or social background genetic information gender gender identity and / or expression sexual orientation religion or belief HIV status or disability.
ABOUT WFP
The World Food Programme is the worlds largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace stability and prosperity for people recovering from conflict disasters and the impact of climate change.
At WFP people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse committed skilled and high performing teams selected on merit operating in a healthy and inclusive work environment living WFPs values (Integrity Collaboration Commitment Humanity and Inclusion) and working with partners to save and change the lives of those WFP serves.
To learn more about WFP visit our website : follow us on social media to keep up with our latest news :
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WHY JOIN WFP
WFP is a 2020 Nobel Peace Prize Laureate.
WFP offers a highly inclusive diverse and multicultural working environment.
WFP invests in the personal & professional development of its employees through a range of training accreditation coaching mentorship and other programs as well as through internal mobility opportunities.
A career path in WFP provides an exciting opportunity to work across the various country regional and global offices around the world and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe.
We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement).
JOB TITLE
Data Scientist
TYPE OF CONTRACT
Consultant
UNIT / DIVISION
Early Warning and Forecasting Unit - Analysis Performance and Planning Division
DUTY STATION (City Country)
Rome Italy
DURATION
11 months
BACKGROUND AND PURPOSE OF THE ASSIGNMENT
The Data Science team within the Early Warning and Forecasting Unit in the Analysis Planning and Performance (APP) division is a specialised team dedicated to addressing the challenge of modelling and forecasting food insecurity and its drivers through the innovative application of machine learning and data science techniques. By leveraging large heterogenous datasets and advanced algorithms the team can identify patterns and trends that are not immediately apparent and predict the impact of impending natural and human generated hazards enabling timely interventions and anticipatory actions in vulnerable areas.
The work is crucial in facilitating data-driven decision-making for governments and humanitarian organizations allowing proactive strategies in combating food crises and their underlying causes. This proactive approach helps to mitigate the impact of potential crises on affected populations improving resilience and ensuring food security.
The Early Warning and Forecasting Unit is collaborating with WFP Nutrition and Food Quality Service on a project to generate and increase access to modelled data on risk of dietary Vitamin and Mineral inadequacy at national and sub‑national levels which will be critical to inform the design and roll‑out of large‑scale food fortification as well as complementary programs. This project will contribute towards the improvement of core Large‑Scale Food Fortification (LSFF) program performance metrics and in conjunction with data partners will achieve consensus on approach including the proxy indicator(s) for risk of dietary micronutrient risk the design of and data underlying subnational maps and use of modelling that will translate to clear and consistent programmatic guidance.
Specifically the objective of the project is to develop a composite proxy‑indicator for risk of inadequate dietary micronutrient intake and integrate it with in the Hunger
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