Data Product Owner Intern — AI/ML Forecasting & Optimization

Wiremind; Paris; Ibrido; EUR 11.000 - 17.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

WellPass access

Great company culture

Offices in Paris

Descrizione del lavoro

Wiremind, a Paris-based tech company specializing in AI-powered logistics and SaaS solutions, is seeking a Data Product Owner Intern to contribute to AI/ML forecasting tools within our Cargo Revenue Management offering. You will collaborate with Data Science, Software, and Product teams to deliver features from idea to deployment.

You will participate in model performance monitoring, feature testing, and documentation, while supporting client implementations as a Data subject expert.

Competenze

• Master's degree in Engineering or Management is required.
• Strong analytical skills are essential.
• Proficiency in data analysis and visualization tools is expected.
• Excellent written and spoken English communication is required.
• Interest in aviation and AI-driven solutions is a plus.

Mansioni

• Participate in all stages of new feature delivery (needs, solution spec, prioritization, testing, deployment).
• Contribute to monitoring ML/AI model performance and share results with stakeholders.
• Support testing efforts, documentation, and client implementations as a Data subject expert.
• Provide customer support related to AI/ML issues and collaborate with Data Science, Software and Product teams.

Conoscenze

Data analysis

Analytical thinking

Visualization tools

English proficiency

Curiosity and motivation

Formazione

Master's degree in Engineering or Management

Descrizione del lavoro

Wiremind, a Paris-based tech company specializing in AI-powered logistics and SaaS solutions, is seeking a Data Product Owner Intern to contribute to AI/ML forecasting tools within our Cargo Revenue Management offering. You will collaborate with Data Science, Software, and Product teams to deliver features from idea to deployment.

You will participate in model performance monitoring, feature testing, and documentation, while supporting client implementations as a Data subject expert.