Procurement Data & AI Intern: Build AI Solutions

Air Liquide; Paris; On-site; EUR 10,000 - 15,000; Full time

Benefits offered by this job

Happy Trainees label

Job summary

Air Liquide's Europe Procurement team is accelerating its AI transformation. As an in-house data science intern, you will bridge business needs with digital solutions, deploying AI and data tools for strategic decisions within a global group.

You will work on data architecture, governance, and adoption, collaborating with stakeholders, and gaining hands-on experience with Python, SQL, App Script, and Workspace AI tools, while communicating to non-experts in an international setting.

Qualifications

• Interest in AI technologies (Generative AI, Prompt Engineering) and data manipulation with Python/SQL.
• Curiosity to experiment and deploy custom-made solutions using Apps Script and APIs.
• Ability to translate business problems into technical requirements and designs.
• Excellent communication to lead workshops and explain concepts to non-experts.
• Knowledge of data visualization tools (Power BI) and Google Workspace/Gemini is a plus.

Responsibilities

• AI Solution Deployment: identify opportunities, build and deploy AI solutions for procurement cases.
• BI & Analysis: act as a bridge between stakeholders and technical possibilities, build end-to-end data solutions.
• Data Architecture & Flow Design: formalize procurement data architecture and document data flows.
• Data Governance & Collection: support data governance and automate data collection to ensure consistency.
• Adoption: lead data maintenance workshops and drive tool adoption across procurement teams.

Skills

Python

SQL

Data analysis

App Script & API

Generative AI

LLMs

Power BI

Google Workspace Gemini

Tools

Power BI

Gemini Workspace Studio

Job description

Air Liquide's Europe Procurement team is accelerating its AI transformation. As an in-house data science intern, you will bridge business needs with digital solutions, deploying AI and data tools for strategic decisions within a global group.

You will work on data architecture, governance, and adoption, collaborating with stakeholders, and gaining hands-on experience with Python, SQL, App Script, and Workspace AI tools, while communicating to non-experts in an international setting.