AI Product Owner Intern: Forecasting & Optimization

Wiremind; Paris; Hybride; EUR 10 000 - 16 000; Plein temps

Avantages offerts par ce poste

1 day of remote work per week

WellPass for well-being

Great company culture

Access to state-of-the-art AI tooling

Beautiful Paris offices

Résumé du poste

Wiremind in Paris is seeking an AI Product Owner Intern to contribute to forecasting and optimization tools that power revenue management. You will work with Data Science, Software, and ML teams to monitor algorithms and shape new features throughout the product lifecycle.

You will be pursuing a Master’s degree in engineering or data science and will bring Python, SQL, and ML knowledge, with hands-on interest in LLMs and AI tooling.

Qualifications

• As a student, you are pursuing a Master’s degree in a technical field and seeking an internship.
• You are comfortable with Python and SQL; experience with ClickHouse or other analytical databases is a plus.
• You have a good understanding of machine learning (forecasting, model evaluation) and ideally optimization / operations research.
• You are hands-on with LLMs and AI tools (coding agents, prompt engineering, LLM APIs), or eager to be.
• You have a strong analytical mindset and a taste for explaining complex systems simply.
• You are curious, self-motivated, and have high standards for the quality of your work.

Responsabilités

• Analyse the optimization algorithm and monitor its performance using data-driven KPIs.
• Shape new features by testing, writing tickets, and collaborating with Data and ML teams.
• Be part of a product team, sharing findings and contributing to client-ready solutions.

Connaissances

Python

SQL

Machine learning

LLMs & AI tools

Analytical mindset

Curiosity

Formation

Master's degree in Engineering/Data Science/Applied Mathematics/Computer Science

Outils

Python

SQL

ClickHouse

Description du poste

Wiremind in Paris is seeking an AI Product Owner Intern to contribute to forecasting and optimization tools that power revenue management. You will work with Data Science, Software, and ML teams to monitor algorithms and shape new features throughout the product lifecycle.

You will be pursuing a Master’s degree in engineering or data science and will bring Python, SQL, and ML knowledge, with hands-on interest in LLMs and AI tooling.