Data Science & AI Pipelines Internship for Animal Health

Geneva Com

Paris

On-site

EUR 7,800 - 8,100

Full time

12 days ago

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Benefits offered by this job

Salary €715/month
Paris internship

Job summary

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.

Qualifications

  • 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.

Responsibilities

  • 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.

Skills

Python
R
NLP
LLM APIs
Git

Education

Master's degree in DS/CS/AI

Tools

Power BI
Streamlit
Shiny
Quarto
SQL

Job description

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.

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