AI & Data Management Consulting Internship (Feb 2027)

About the role

This internship places you inside Accenture’s AI & Data practice, working on real‑world projects for leading organisations. You will collaborate with data scientists, AI engineers, architects and consultants to turn AI ideas into production‑ready solutions.

Key responsibilities

• Contribute to AI & Data projects alongside multidisciplinary teams.
• Explore and develop solutions using Generative AI, Machine Learning, Deep Learning, NLP, and Computer Vision.
• Work with data: explore datasets, perform analyses, prepare data, and build prototypes.
• Experiment with large language models (LLMs) and AI agents, including prompting, retrieval‑augmented generation, and tool integration.
• Translate business challenges into AI use cases and align technical choices with user needs.
• Participate in the full project lifecycle from problem definition to testing and potential deployment.
• Learn about security, privacy, Responsible AI, architecture, scalability and regulatory considerations.

Required profile

• Currently pursuing a Master’s degree in Computer Science, AI, Data Science, Engineering, Business Engineering or a related field.
• Passionate about AI, data and their real‑world applications.
• Analytical mindset with the ability to break down complex problems.
• Curious, quick learner and comfortable with new technologies.
• Team‑player who welcomes feedback and can communicate clearly with technical and non‑technical colleagues.
• Fluent in English and Dutch/French, with the ability to express yourself in French/Dutch.

Required skills

• Machine Learning
• Deep Learning
• Natural Language Processing (NLP)
• Computer Vision
• Generative AI

What we offer

• Real‑world AI & Data project experience beyond academic exercises.
• Coaching and mentorship from senior AI, data and consulting professionals.
• Access to Accenture’s learning resources, technology partners and training programs.
• Exposure to leading organisations across multiple industries.
• Opportunity to explore a consulting career at the intersection of technology and business.