Data Scientist, Python, Machine Learning, Remote
Pubblicato il 31-08-2026 - World Food Programme in Roma
DEADLINE FOR APPLICATIONS 8 September 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 world's 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 WFP's 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: and follow us on social media to keep up with our latest news: You Tube, Linked In, Instagram, Facebook, Twitter, Tik Tok. 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.
JOB TITLE: Data Scientist TYPE OF CONTRACT: Private Sector Partnerships (PSP), Individual Fundraising Team DUTY STATION (City, Country): Remote (administrative DS is Rome, HQ) Head of Insights and Strategic Enablement BACKGROUND AND PURPOSE OF THE ASSIGNMENT The United Nations World Food Programme (WFP) is the world's largest humanitarian organization fighting hunger worldwide.
Private Sector
Partnerships (PSP) is responsible for growing and nurturing engagement with individual supporters, corporate partners, foundations and philanthropists to mobilize resources for WFP's mission. As WFP continues to expand its individual fundraising (IF) programmes across and Share The Meal, there is an increasing need to leverage advanced analytics, machine learning, artificial intelligence, and predictive modelling to optimize fundraising performance and long-term donor value. The Insights & Strategic Enablement function provides analytics, business intelligence, forecasting and strategic insight services to support evidence-based decision-making across PSP.
The Data
Scientist will play a critical role in transforming large and complex datasets into actionable insights, predictive models, and AI-driven solutions that improve fundraising effectiveness and supporter engagement. The role will work closely with fundraising, digital, technology, business intelligence, and data engineering teams within IF and more broadly PSP. ACCOUNTABILITIES/RESPONSIBILITIES Reporting to the Head of Insights and Strategic Enablement, the data scientist will be responsible for providing data science, machine learning, and AI services in support of IF's global data and analytics priorities, including deriving insights from large-scale datasets including transactional, web, app and experimentational.
Collaborate with PSP stakeholders, data owners, product teams, and technical counterparts to translate business needs into analytical solutions, document methods and results, and support adoption of data-driven recommendations. Design, build, train, evaluate, and deploy machine learning and data science models that support segmentation, clustering, prediction, fundraising optimization and donor engagement. supervised or unsupervised to meet the differing business need. Apply advanced AI techniques, including natural language processing, large language models, retrieval-augmented generation, prompt engineering, and agentic workflows, where appropriate to automate analysis, improve decision support, and enhance knowledge discovery.
Perform exploratory data analysis, feature engineering, model evaluation, hyperparameter tuning, and model optimization to ensure analytical outputs are accurate, explainable, scalable, and fit for purpose. Implement or assist tech and product teams to implement and operationalize data science models. Contribute and collaborate with wider community of data scientists within WFP and sister agencies, keeping abreast and raising awareness to PSP colleagues of cutting‐edge developments.
DELIVERABLES AT THE END OF CONTRACT Development of a data science pipeline for Individual Fundraising; capturing needs, data assets and projects with an implementation model. Continually develop data science infrastructure and capabilities. Work with the engineering teams to operationalize models.
Development of a repository of data science models that have been developed; Become a champion of Data Science, Machine Learning and AI within PSP; showcase possibilities and successful implementations.
QUALIFICATIONS & EXPERIENCE REQUIRED Minimum Qualifications and Experience: Six years of relevant experience plus a university degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related quantitative field.
SKILLS AND COMPETENCIES Proficiency in programming languages such as Python or R is crucial for a data scientist. Familiarity with concepts such as hypothesis testing, regression analysis, probability distributions, and statistical modeling techniques. Expertise in traditional machine learning techniques, including supervised and unsupervised learning, segmentation, clustering, prediction, classification, regression, feature engineering, model evaluation, and model selection.
Strong experience with sentiment analysis, natural language processing, large language models, prompt engineering, retrieval-augmented generation, and agentic AI workflows, with the ability to identify practical use cases and implement responsible AI solutions. excellent drafting, formulation, reporting skills. ability to work inclusively and collaboratively with a range of partners, including grassroots community members, religious and youth organizations, and authorities at different levels; familiarity with tools and approaches of communications for development. ability to work effectively in a multicultural team of international and national personnel. Self‐motivated, ability to work on MVPs in an agile environment; Have affinity with or interest in leveraging AI in humanitarian domain volunteerism as an enabler for durable development, and the UN System.
Languages: Proficiency (read/ write/ speak) in English. 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. inclusion@ Our greatest strength is the people working around the world providing access to nutritious food and promoting lasting solutions to those we serve. WFP provides its staff with meaningful and impactful careers, continuous learning and training, and a multicultural and stimulating work environment.
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, physical or mental disability.
The United Nations World Food
Programme is the 2020 Nobel Peace Prize Laureate. We are the world's 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.