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Wavestone

Management and digital transformation consulting

Data and AI Engineer Intern

Applied Machine LearningConfirmed live in the last 24 hours
InternshipPuteaux, FranceNo salary listedIn-person

About the Job

Requirements

  • The role is intended for final-year students at an engineering or business school, with an engineering diploma or PGE and a specialization in data science, artificial intelligence, digital transformation, or strategy.
  • Candidates should have a specialization or strong interest in data, AI, or digital topics.
  • Candidates should have foundational technical knowledge acquired through coursework, academic projects, or internships.
  • Candidates should have foundational knowledge of Python, software development, or data engineering.
  • Candidates should have introductory knowledge of machine learning or artificial intelligence.
  • Candidates should know data architectures such as data lakes, lakehouses, and pipelines.
  • Candidates should be familiar with cloud environments such as Azure, AWS, or GCP.
  • Candidates should be interested in generative AI, including large language models, retrieval-augmented generation, and agents.
  • Candidates should have introductory knowledge of DevOps or continuous integration and continuous delivery.
  • Candidates should be motivated to work in Data and AI consulting and engineering.
  • Candidates must have fluent French.
  • Candidates must have at least C1-level English.

Responsibilities

  • Participate in identifying and prioritizing high-impact business use cases for artificial intelligence.
  • Contribute to the design and industrialization of data and AI solutions, including generative, predictive, and agent-based solutions.
  • Contribute to implementing data and AI platforms, including data mesh, lakehouse, and secure architectures.
  • Design, train, and evaluate machine-learning and large-language models, including retrieval-augmented generation, fine-tuning, and embeddings.
  • Develop data pipelines and AI agents using Python, APIs, and orchestration tools.
  • Develop skills in industrialization through DevOps, DataOps, MLOps, and LLMOps practices, including continuous integration and delivery, monitoring, and governance.
  • Participate in structuring data and AI governance, including security, compliance, GDPR, and the AI Act.
  • Contribute to team education and change management related to AI use cases.
  • Conduct ongoing technology monitoring of data, AI, and generative AI solutions.
  • Contribute to the Wavestone Data and AI community through sharing, research and development, and service offerings.
  • Work progressively on client missions under the supervision of a consultant and the guidance of a manager.
  • Develop a continuous internship project aligned with the business unit's priorities and the intern's interests, deepen expertise in a data and AI topic, and present the work to teams.

About the Company

Wavestone

Management and digital transformation consulting

Wavestone provides management and digital consulting to help large organizations carry out complex transformations. Its services combine strategy, change management, and technology implementation to guide clients from plan to outcome. The core method centers on cultivating a shared culture of enthusiasm for change, called The Positive Way, so strategies are adopted smoothly, projects stay sustainable, and stakeholders trust the process. With about 3,000 consultants across four continents, the company supports transformation programs from ideation to execution on a global scale. Wavestone differentiates itself by placing culture and positive mindset at the heart of its approach, pairing management consulting with digital expertise to drive lasting change. The goal is to enable successful, enduring transformations that deliver measurable business value while engaging people in the change journey.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Puteaux, France
Founded
1990

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