Remote Data Scientist for Humanitarian Analytics

Logistics Cluster

Roma

Ibrido

EUR 70.000 - 110.000

Part-time

14 giorni+
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

The World Food Programme seeks a Data Scientist to turn large transactional, web, and app data into actionable insights and predictive models to optimize fundraising performance. This 11-month remote consultancy sits within PSP’s Private Sector Partnerships, collaborating with digital, BI and data engineering teams.

Strong Python/R skills, ML/AI expertise, and experience with NLP and large language models are essential to deliver scalable, explainable solutions that support donor engagement and

Competenze

  • Six years of relevant experience plus a university degree in a quantitative field.
  • Proficiency in Python or R for data science.
  • Experience with large-scale datasets and ML/AI solutions.
  • Familiarity with cloud platforms and modern data tooling.
  • Strong communication and teamwork skills.

Mansioni

  • Provide data science and ML services to support fundraising analytics.
  • Design, train, evaluate, and deploy models for segmentation and donor engagement.
  • Apply NLP and AI techniques to automate analysis and insights.
  • Collaborate with PSP and IT teams to implement data-driven solutions.
  • Document methods and results, ensure explainability and scalability.

Conoscenze

Python
R
Machine Learning
NLP
Big Data

Formazione

Master's degree in Computer Science / AI / Data Science

Strumenti

SQL
Cloud platforms (AWS/GCP)

Descrizione del lavoro

The World Food Programme seeks a Data Scientist to turn large transactional, web, and app data into actionable insights and predictive models to optimize fundraising performance. This 11-month remote consultancy sits within PSP’s Private Sector Partnerships, collaborating with digital, BI and data engineering teams.

Strong Python/R skills, ML/AI expertise, and experience with NLP and large language models are essential to deliver scalable, explainable solutions that support donor engagement and

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