Internship - Data Science and AI Pipelines for th...

Geneva Com; Paris; Vor Ort; EUR 7.800 - 8.100; Vollzeit

Benefits dieser Stelle

Salary €715/month

Paris internship

Zusammenfassung

WOAH (World Organisation for Animal Health) offers a six-month, full-time internship in Paris for a data science & AI pipelines project within DIAD. You will design, develop, and document workflows to manage animal health research needs, including extraction, summarisation, and publication of priorities, under supervision.

The role requires master's-level study in DS/CS/AI, strong Python/R skills, NLP/LLM experience and familiarity with data visualization tools.

Qualifikationen

• Currently enrolled in a Master's (M1/M2) or final year of an engineering school in data science, computer science, statistics, AI or a related quantitative field.

Aufgaben

• Review the research needs database and build reproducible Python/R pipelines to ingest, clean, standardise and de-duplicate records; propose a data model and controlled vocabularies.
• Develop NLP and LLM pipelines to classify research needs, extract entities, detect duplicates, and cluster and summarise needs into consolidated priorities.
• Automate reports, dashboards or web-ready content; integrate with DIAD data platforms following WOAH IT security rules.
• Document pipelines, prompts and models, prepare a user guide and final internship report; hand over tools to teams.

Kenntnisse

Python

R

NLP

LLM APIs

Git

Ausbildung

Master's degree in DS/CS/AI

Tools

Power BI

Streamlit

Shiny

Quarto

SQL

Jobbeschreibung

Internship - Data Science and AI Pipelines for the Management of the Animal Health Research Needs Database (STAR-IDAZ), DIAD

WOAH - World Organisation for Animal Health

Location: Paris, France

Apply by: 04 Nov 2026

Administration, HR, Management, Accounting/Finance

Internship - Data Science and AI Pipelines for the Management of the Animal Health Research Needs Database (STAR-IDAZ), DIAD

The World Organisation for Animal Health (WOAH, founded as OIE) is an intergovernmental organisation representing 183 Members worldwide, working to improve animal health, animal welfare and Veterinary Services. The Data Integration and Analytics Department (DIAD) supports evidence-based decision-making through data integration and advanced analytics. WOAH coordinates STAR-IDAZ, a large international research effort on animal health, including the collection of research needs expressed by Members, experts and partners. These needs are mostly gathered through free-text forms, which makes consolidation, analysis and publication labour-intensive.

DIAD, in collaboration with the Science Department, is offering a six-month, full-time internship at WOAH Headquarters in Paris for a motivated student interested in data science and AI applied to research data. The intern joins the Data Science Lab under the Head of DIAD, supervised by the Data Manager and the AI Scientist, and designs, develops and documents data science and AI pipelines that automate the management of research needs and the extraction, summarisation and publication of animal health research priorities.

Responsibilities:

• - Data understanding and preparation: review the research needs database and collection channels; build reproducible Python/R pipelines to ingest, clean, standardise and de‑duplicate records; propose a data model and controlled vocabularies.
• - AI-supported text processing: develop NLP and LLM pipelines to classify research needs, extract entities (pathogen, disease, species, topic, stakeholder), detect duplicates, and cluster and summarise needs into consolidated priorities; design an evaluation approach with human-in-the-loop review.
• - Publication of research priorities: automate reports, tables, dashboards or web‑ready content; integrate with DIAD data platforms following WOAH IT security rules.
• - Documentation and knowledge transfer: use AI-supported coding tools with good engineering practices, document pipelines, prompts and models, prepare a user guide and final report, and hand over tools to the teams.

Expected deliverables:

• documented reproducible ingestion/cleaning pipeline; AI/NLP pipelines with performance evaluation; an automated report or dashboard of consolidated research priorities; technical documentation, user guide and final internship report.

Requirements:

• - Currently enrolled in a Master's (M1/M2) or final year of an engineering school in data science, computer science, statistics, AI or a related quantitative field.
• - Academic or practical experience with Python and/or R for data processing and analysis, including text data.
• - Strong programming skills, hands‑on use of AI-supported coding tools, good knowledge of NLP and LLM APIs, and reproducible-code practices (Git, documentation, testing).
• - Assets: NLP/text mining/LLM experience (prompt engineering, RAG, embeddings), interest in animal health or One Health, data visualisation tools (Quarto, Power BI, Streamlit/Shiny), SQL and data modelling.
• - Excellent English; French or Spanish is an asset.

Conditions: internship agreement with the student's academic institution required; salary 715€/month; start as soon as possible and no later than 4 January 2027, in person in Paris.