AI & Data Internship: Build Real-World Solutions

Accenture PLC; Brussel; Sur place; EUR 8 900 - 13 000; Temps partiel

Avantages offerts par ce poste

Real AI experience

Mentorship

Learning resources

Professional development

Industry exposure

International team

Résumé du poste

Accenture Belgium invites motivated Master’s students to an AI & Data internship. You will contribute to real projects, collaborate with Data Scientists, AI Engineers, Architects and Consultants, and gain exposure to Generative AI, ML, NLP and analytics in a professional environment.

You will learn how AI is moved from prototype to production, address business value, user needs, security and Responsible AI, while developing technical and consulting skills in a large organization.

Qualifications

• Curious and motivated to learn across AI and data topics.
• Able to analyze problems and break them into manageable parts.
• Comfortable collaborating with multidisciplinary teams.
• Fluent in English; proficiency in Dutch or French is a plus.

Responsabilités

• Join one of Accenture’s AI & Data project or capability teams.
• Contribute to real business challenges and prototypes alongside experienced colleagues.
• Work with Generative AI, ML, NLP, computer vision and analytics.
• Explore data, build analyses, and evaluate AI models.
• Experiment with AI agents, prompting, and tool use to deliver enterprise solutions.
• Translate business challenges into AI/data use cases and support project delivery.
• Participate in problem definition, experimentation, design, development, testing and deployment.

Connaissances

Curious

Motivated

Analytical

Team player

English fluency

Formation

Master’s degree in Computer Science, AI, Data Science, Engineering, Business Engineering or related field

Description du poste

Accenture Belgium invites motivated Master’s students to an AI & Data internship. You will contribute to real projects, collaborate with Data Scientists, AI Engineers, Architects and Consultants, and gain exposure to Generative AI, ML, NLP and analytics in a professional environment.

You will learn how AI is moved from prototype to production, address business value, user needs, security and Responsible AI, while developing technical and consulting skills in a large organization.