AI Product Owner Intern: Forecasting, ML & Optimization

Wiremind

Paris

On-site

EUR 13,000 - 20,000

Full time

14 days+

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Benefits offered by this job

Beautiful Paris offices
Remote work 1 day/week
Competitive pay
Well-being program

Job summary

Wiremind, a Paris-based tech company, is seeking an AI Product Owner Intern to contribute to forecasting and optimization tools within Revenue Management. You will join the AI Product team and collaborate with Data Science, Software, and Product teams.

You will analyze optimization algorithms, shape new features, write tickets, and help turn ideas into client-ready projects while learning about LLMs, ML, Python, and SQL.

Qualifications

  • Pursuing a Master's degree in Engineering, Data Science, Applied Mathematics or Computer Science.
  • Comfortable with Python and SQL (pandas, notebooks); experience with ClickHouse or other analytical databases is a plus.
  • Strong understanding of machine learning (forecasting, model evaluation) and optimization / operations research is desirable.
  • Hands-on with LLMs and AI tools or eager to learn.

Responsibilities

  • Analyze the optimization algorithm using all available data to understand behavior and monitor performance.
  • Propose monitoring methods, tools and KPIs to measure performance.
  • Shape new features by testing, writing tickets, and coordinating with Data/ML teams to implement ideas.
  • Be part of a product team, sharing findings and having work used by real clients.

Skills

Python
SQL
pandas
LLMs

Education

Master's degree in Engineering/DS/Applied Math/CS

Tools

ClickHouse

Job description

Wiremind, a Paris-based tech company, is seeking an AI Product Owner Intern to contribute to forecasting and optimization tools within Revenue Management. You will join the AI Product team and collaborate with Data Science, Software, and Product teams.

You will analyze optimization algorithms, shape new features, write tickets, and help turn ideas into client-ready projects while learning about LLMs, ML, Python, and SQL.

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