Remote Data Scientist: AI & ML for Donor Engagement

World Food Programme; Lazio; In loco; EUR 70.000 - 110.000; Tempo pieno

Vantaggi offerti da questo lavoro

Inclusive environment

Professional development

Flexible remote work

Descrizione del lavoro

World Food Programme is seeking a Data Scientist to transform large-scale datasets into actionable insights and AI-powered solutions for private sector fundraising.

Reporting to Head of Insights and Strategic Enablement, you will design and deploy models, apply NLP/LLM techniques, and collaborate across PSP, digital, tech, and BI teams to optimize donor engagement and fundraising performance.

Competenze

• Six years of relevant experience plus a university degree in computer science, artificial intelligence, data science, statistics, engineering, or a related quantitative field.
• Experience with large-scale datasets and building machine learning or AI solutions.
• Working knowledge of cloud platforms and modern data science tooling.

Mansioni

• Collaborate with PSP stakeholders to translate business needs into analytical solutions.
• Design, train, and deploy ML models for segmentation, prediction, and donor engagement.
• Apply NLP, large language models, retrieval-augmented generation, and agentic AI workflows where relevant.
• Perform exploratory data analysis, feature engineering, model evaluation, and hyperparameter tuning.
• Implement and operationalize data science models with engineering teams.
• Maintain a repository of solutions and review model performance.

Conoscenze

Python or R

Statistics

ML/AI models

NLP/LLMs

Data visualization

Formazione

University degree in CS/AI/DS/Statistics/Engineering

Strumenti

Cloud platforms

Modern data science tooling

Descrizione del lavoro

World Food Programme is seeking a Data Scientist to transform large-scale datasets into actionable insights and AI-powered solutions for private sector fundraising.

Reporting to Head of Insights and Strategic Enablement, you will design and deploy models, apply NLP/LLM techniques, and collaborate across PSP, digital, tech, and BI teams to optimize donor engagement and fundraising performance.