Fellowship Partnerships Predictive Modelling Kamar Ammari

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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.

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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).

Partnerships Predictive Modelling Fellow
Partnerships and Innovation Country Office Support Hub
Public Partnerships Division
Rome Italy

The United Nations World Food Programme (WFP) is the worlds largest humanitarian agency fighting hunger worldwide 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.

The Public Partnerships Division (PPD) under the Partnerships and Innovation (PI) Department leads WFP engagement with government and intergovernmental partners and public financing channels. It works with Global Offices and donor account teams to protect grow and diversify WFPs public funding base.

The PI CO Support Hub sits within PPD and provides 360 Partnerships Support to Country Offices in close coordination with Global Offices Donor Accounts and other Global Functions and Regional Director Office teams. It provides support across planning business development operational delivery and knowledge management and learning including analytical products and data enabled tools that strengthen resource mobilization decision making.

City and Country of assignment: Rome Italy

Hiring Unit: PI CO Support Hub (PPDR)

Hiring Division: Public Partnerships Division (PPD)

Supervisor Role: Partnerships Officer Team Lead Knowledge Management and Learning PI CO Support Hub

Working arrangement: Preference is for in person however hybrid or remote can also be considered

Duration of assignment: 6 months

Expected Starting Date: 1 July 2026

Number of available positions: 1

This internship will support a practical predictive modelling workstream for Partnerships to help anticipate new contributions based on historical data. Predictive modelling uses historical patterns and relevant input variables to estimate a future outcome for example the likelihood expected value or expected timing of a contribution. The intern will work with the team and share analysis outputs with the developers who integrate results into dashboards or agents.

• Help define a small set of prediction questions with the team for example likelihood of a new contribution within a period expected value bands or expected time to confirmation.

• Prepare a clean analysis dataset from existing sources document definitions and assumptions handle missing values and produce simple features such as past giving patterns geography and theme tags and pipeline stage indicators.

• Build and compare a small number of baseline models for example logistic regression linear regression and simple tree-based models focusing on clarity and reproducibility rather than complexity.

• Evaluate model performance with simple metrics for example accuracy error measures for regression and basic calibration checks summarise what works and where the model is less reliable.

• Produce interpretable outputs for example top drivers and simple scenarios and translate findings into short notes and visuals for Partnerships colleagues.

• Prepare a short handover pack for the developer team what the model predicts required inputs how outputs should be interpreted and suggested refresh approach.

• One cleaned analysis dataset and a short data note covering sources key fields assumptions and limitations.

• A baseline predictive model with a simple evaluation summary and an interpretation note including key drivers and caveats.

• A short slide or memo summarising results and how they can support prioritisation and planning.

• A concise handover pack for developers describing the model inputs and outputs and monitoring suggestions.

• Be a Masters student or a graduate in a relevant field for example Statistics Data Science or AI Computer Science Information Systems Econometrics or International Development with a strong quantitative focus from a recognized university.

• Excellent written and spoken English is required (proficiency level C). Working knowledge of another official UN language (French Spanish Arabic Chinese Russian plus Portuguese) is an asset.

• Strong skills in statistical analysis and modelling and practical experience in Python or R for data processing and modelling.

• Ability to communicate clearly with both technical and non-technical audiences and to document work so others can reproduce results.

Throughout the assignment selected candidates have access to an industry leading learning platform WeLearn. Depending on opportunities and availability of funds he or she may participate in WFP workshops or seminars as appropriate.

At the end of the assignment the selected candidate should be able to analyse partnerships and development funding data build and validate a predictive model for new contributions interpret results for decision making and translate technical work into clear documentation and recommendations for product development.

This opportunity is particularly well suited for students or recent graduates seeking practical experience in an international organization. The selected candidate will receive IT equipment and training material however financial compensation and medical coverage are not provided by WFP. Applicants may seek alternative funding opportunities such as university grants or external scholarships to support their assignment.

The selected candidate is expected to demonstrate the behaviours in the WFP Leadership Framework that guide how we work together to accomplish our mission.

WFP LEADERSHIP FRAMEWORK

WFP Leadership Framework guides to the common standards of behavior that guide HOW we work together to accomplish our mission.

Click here to access WFP Leadership Framework

REASONABLE ACCOMMODATION

WFP is committed to supporting individuals with disabilities by providing reasonable accommodations throughout the recruitment process. If you require a reasonable accommodation please contact:

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REMINDERS BEFORE YOU SUBMIT YOUR APPLICATION

• All applications must be submitted exclusively through our online recruiting system. We do not consider CVs or applications sent by email LinkedIn or any other channel.

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• At the application stage the only required documents are your CV and Cover Letter. Additional documents (passport certificates recommendation letters etc.) may be requested later in the process.

• Only shortlisted candidates will be contacted and invited to proceed to the next stage of the recruitment process.

All employment decisions are made on the basis of organizational needs job requirements merit and individual qualifications. WFP is committed to providing an inclusive work environment free of sexual exploitation and abuse all forms of discrimination any kind of harassment sexual harassment and abuse of authority. Therefore all selected candidates will undergo rigorous reference and background checks.

No appointment under any kind of contract will be offered to members of the UN Advisory Committee on Administrative and Budgetary Questions (ACABQ) International Civil Service Commission (ICSC) FAO Finance Committee WFP External Auditor WFP Audit Committee Joint Inspection Unit (JIU) and other similar bodies within the United Nations system with oversight responsibilities over WFP both during their service and within three years of ceasing that service.