STAGE - Exploitation des agents IA, Data Science (F/H)

You will join the 3DEXPERIENCE Brand Services team, a group of specialized experts within Dassault Systèmes, whose mission is to support industrial clients in the successful adoption of the 3DEXPERIENCE platform, a cloud suite notably covering Data Science, Artificial Intelligence, and industrial analytics. The team is at the intersection of software development, data science, and customer support. It is neither a commercial team nor a generalist IT integrator, but a brand-level center of expertise that defines best practices, supports deployment partners worldwide, and directly handles the most complex deployments or first-of-their-kind use cases.

Your Missions As an intern specializing in AI agents and Data Science, your main mission will be to create and improve tools: you will develop and perfect cutting-edge AI tools to enable Services teams to save time and increase efficiency during client deployments. You will join the team at a time when a permanent Software Consultant from Services is already in charge of this topic. You will thus benefit from an experienced interlocutor with whom to build and develop solutions, rather than starting from a blank page.

Creation and improvement of tools: This is your main mission. You will design, develop, and evolve reusable components based on AI agents, such as:

• Deployment accelerators;

• Configuration assistants;

• Data preparation tools;

• Utilities for Machine Learning pipelines. The objective will be to clearly reduce manual tasks and the time required for client interventions.

Exposure to deployment projects: You will work alongside senior consultants on real deployments to directly understand the difficulties and blocking points encountered during client projects. This immersion will ensure that the developed tools address concrete and operational issues, rather than purely theoretical needs.

Key Activities

• Design and prototype AI agent-based tools, particularly for data preparation, automation of Machine Learning pipelines, and workflow acceleration, to reduce deployment times and manual configuration efforts.

• Improve and reliability existing tools and prototypes developed by the team, to make them robust enough for broader reuse by various deployment partners.

• Document methods, architectures, and best practices related to the developed tools, and contribute to enriching the team's internal toolkit and its VTaaS (Virtual Twin As A Service) asset library.

• Support senior consultants and the Services Software Consultant during real client projects, to integrate operational constraints encountered in the field into tool design choices.

• Measure and present the gains in deployment time and effort achieved through the developed tools.

Your Qualifications Student in Master 2 / final year of studies (Bac+4/5) in computer science, Data Science, or a related engineering discipline.

Technical Skills

• Solid academic knowledge of Machine Learning and statistical modeling.

• Good proficiency in Python; knowledge of SQL or Data Engineering frameworks is a plus.

• Academic knowledge of LLMs (Large Language Models) and agentic AI frameworks such as LangChain, AutoGen, or equivalents.

• Ability to build end-to-end data pipelines, from data ingestion to model result production.

• Knowledge of good software development practices (version management, documentation, etc.): the developed tools must be reusable by other collaborators after the internship.

Personal Qualities

• Sufficient autonomy to take charge of a defined work scope, with regular support but without constant supervision.

• Comfortable in an environment in indirect contact with clients: you may participate in sessions alongside technical teams from large industrial groups.

• Curious and adaptable, in a rapidly evolving field.

• Able to document your work as you go, with the objective that the developments made continue to be useful after the internship.

Motivations and Interests

• A real interest in the concrete applications of AI in the professional world, beyond theory.

• A motivation to see the developed tools actually adopted and used, and not just to design them.

• A good ability to evolve in a varied environment: no client deployment is exactly like another.

Joining us also means: Integrating a scientific company at the heart of technological innovation, driven by strong growth for over 40 years Main advantages and benefits:

• Multicultural environment

• Convivial working environment focused on well-being and health (gym & music rooms, concierge, etc.)

• Commitment to diversity and inclusion

• Dynamic career development policy: training plan, internal mobility, etc.