AI Product Owner Intern: Forecasting & Optimization

Wiremind, SAS.

Paris

Hybride

EUR 10 000 - 15 000

Temps partiel

14 jours+

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Avantages offerts par ce poste

Remote 1 day/week
WellPass
Team events
Off-site seminars
AI tooling access

Résumé du poste

Wiremind, SAS. in Paris is seeking an AI Product Owner Intern to help develop AI-powered forecasting and optimization tools within our Revenue Management solution.

You will collaborate with Data Science, Software, and Software Product teams to analyze the optimization engine, monitor performance, and shape new features for production use. This internship focuses on hands-on ML/optimization work and practical impact.

Qualifications

  • Pursuing a Master's degree in Engineering, Data Science, Applied Mathematics or Computer Science.
  • Strong Python and SQL skills (pandas, notebooks); ClickHouse or other analytical DBs is a plus.
  • Good understanding of machine learning (forecasting, model evaluation) and optimization/operations research.
  • Hands-on with LLMs and AI tools (coding agents, prompt engineering, LLM APIs), or eager to be.
  • Strong analytical mindset and ability to explain complex systems simply.
  • Curious, self-motivated, and have high standards for the quality of work.

Responsabilités

  • Analyse the optimization algorithm: understand its behaviour, monitor it, and validate performance.
  • Shape new features: test them, write tickets, and work with Data/ML teams to turn ideas into projects.
  • Be part of a product team: share findings, contribute to product discussions, and see your work used by real clients.

Connaissances

Python
SQL
Pandas

Formation

Master's degree

Outils

ClickHouse

Description du poste

Wiremind, SAS. in Paris is seeking an AI Product Owner Intern to help develop AI-powered forecasting and optimization tools within our Revenue Management solution.

You will collaborate with Data Science, Software, and Software Product teams to analyze the optimization engine, monitor performance, and shape new features for production use. This internship focuses on hands-on ML/optimization work and practical impact.

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