Offre d'emploi INTERNSHIP - HEAD OFFICE - Industrial Data Optimization H/F

A vast amount of information is collected daily from Air Liquide's production plants. Use of this data by Data Scientists and Data Analysts as well as AI algorithms offer a wealth of opportunities to better manage our industrial assets. However, even though the Data is organized and structured in Core Data Models, stored in one unique Data Lake, some silos remain between data sources that prevent us from getting more benefit from the data and generating more value.

The goal of the mission is to use modern data structurization methods to align and build the relationships between our various industrial data models.

During your internship/internship, you will be given the following main tasks:

* analyze the existing industrial sites data models (plant supervision data historization, assets management, maintenance, performance management, sustainability, and safety)
* propose advanced strategies to automatically establish bridges between the data sets and avoid manual data connections (including language models and others)
* develop and test algorithms to implement these strategies

You will interact with various business stakeholders (Solution Owners and Business Owners) in different geographies and also be at the interface between business and IT.

Currently studying at M1/M2 master level (engineering school, business school, or university)

Competencies in artificial intelligence, data science, business intelligence.

Notions in natural language processing, predictive maintenance, optimization.

Ability to build relationships with all types of interlocutors, very clear and good communication skills

Fluent English (written and spoken), French is appreciated

Duration:Additional Information

Air Liquide has been awarded the Happy Trainees label.

The internship will take place in the Group's historical headquarters in the center of Paris at Quai d'Orsay.

* Geographical location: France / Ile de France / 75-Paris
* Desired start date: April / May 2025
* Duration of the internship : 6 months

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