Internship – Data&AI Tech – as of February 2027

Accenture PLC; Brussel Hoofdstad; On-site; EUR 7,800 - 12,000; Full time

Job summary

Accenture PLC invites applications for a Data & AI Technology Intern based in Belgium. You will work with a cross-functional team of engineers, data scientists, and business experts on data foundations, analytics, ML, and Generative AI while adhering to Responsible AI principles.

You will gain hands-on experience through guided assignments, feedback, and collaboration with experienced colleagues, touching on CI/CD, containerization, and workflow automation.

Qualifications

• Currently enrolled in bachelor’s or master’s programme in computer science, artificial intelligence, data science, engineering, business, or a related field.
• Fluency in English and either French or Dutch.

Responsibilities

• Contribute to development and testing of data, machine learning, and AI solutions under guidance.
• Assist with data collection, preprocessing, cleaning, validation, and feature engineering.
• Help document business use cases, user needs and functional requirements.
• Support creation, testing, and monitoring of ML pipelines, prototypes, or PoCs.
• Collaborate with team members and participate in code reviews and knowledge-sharing sessions.

Skills

Python

Machine learning

Data analysis

English fluency

Education

Bachelor’s or Master’s student (CS/AI/Data Science)

Tools

Git

Azure

Job description

Data & AI Technology Intern

1. Introduction

The Data & AI Technology team at Accenture helps organizations become data-driven and AI-first. We design, build, and operate modern data platforms and AI solutions that turn data into trusted insights and scalable intelligence at enterprise scale. Our work helps clients reinvent core processes and unlock sustainable business value through smarter decision-making, automation, and innovation.

2. Your Team

You will join a collaborative, cross-functional team of engineers, data scientists, and functional experts. As an intern, you will learn through hands-on assignments, guidance, regular feedback, and collaboration with experienced colleagues. Our work spans data foundations, analytics, machine learning, and Generative AI, with Responsible AI principles embedded throughout the delivery lifecycle.

3. Your Internship Responsibilities

• Contribute to the development and testing of data, machine learning, and AI solutions under the guidance of experienced team members.
• Assist with data collection, preprocessing, cleaning, validation, and feature engineering.
• Help explore and document business use cases, user needs, and functional requirements.
• Support the creation, testing, and monitoring of machine learning pipelines, prototypes, or proof-of-concept solutions.
• Collaborate with technical and business colleagues and contribute to team discussions and working sessions.
• Document experiments, findings, solution designs, and lessons learned in a clear and structured way.
• Assist with workflow automation and gain exposure to development practices such as version control, CI/CD, and containerization.
• Help define or track simple indicators to assess the usefulness and impact of AI solutions.
• Research emerging Data & AI technologies and share relevant insights with the team.
• Participate in Agile ceremonies, code reviews, knowledge-sharing sessions, and regular feedback moments.

4. Your Background

• Currently enrolled in a bachelor’s or master’s programme in computer science, artificial intelligence, data science, engineering, business, or a related field.
• Eligible to complete an internship as part of your academic programme and able to provide the required internship agreement through your educational institution.
• Basic knowledge of Python and an interest in data, analytics, machine learning, or Generative AI.
• Curiosity, a structured problem-solving approach, and attention to detail.
• Interest in connecting business needs with technical possibilities.
• Willingness to learn, ask questions, receive feedback, and share knowledge with others.
• Good communication and collaboration skills.
• Fluency in English and either French or Dutch.

5. Nice to Have

• Academic, thesis, or personal project experience involving data, machine learning, AI, or software development.
• Basic familiarity with Git or collaborative development practices.
• Exposure through coursework or projects to a cloud platform such as Azure, AWS, or Google Cloud.
• Interest in LLMs, Generative AI, low-code platforms, or Responsible AI.
• Participation in hackathons, AI competitions, student associations, or personal GitHub projects.
• Basic awareness of Agile ways of working, CI/CD, Docker, Kubernetes, MLflow, or Airflow.

6. Learning Opportunities

• Gain hands-on experience with Data & AI use cases in a professional consulting environment.
• Learn from experienced Data & AI professionals through coaching, collaboration, and regular feedback.
• Develop practical technical, analytical, documentation, and stakeholder collaboration skills.
• Contribute to meaningful team deliverables while completing a clearly defined internship assignment.

7. Certifications

Certifications are not required for this internship. Relevant introductory learning or certifications in AI, cloud, data, business analysis, or Agile methods are considered an advantage.