Data & AI ML Engineering Graduation Internship — Hybrid Amsterdam

Accenture PLC; Amsterdam; Hybrid; EUR 5,000 - 6,100; Full time

Benefits offered by this job

Internship allowance 500 €/month

Laptop provided

Hybrid work

Access to NL Accenture offices

Unlimited learning opportunities

Job summary

Accenture PLC in Amsterdam is offering a master’s graduation internship in Data & AI for 5–9 months with 32–40 hours/week. The role centers on developing AI-driven solutions while you write your thesis at the office, with exposure to client projects and a chance for a future permanent role.

You are a master’s student with strong data science, computer science or AI background, fluent in English, and capable of independent work and collaboration. Hybrid work and a laptop are provided.

Qualifications

• Master student enrolled at a Dutch university for the entire internship duration.
• Strong analytic and data-driven problem solving abilities.
• Fluent in English, both written and spoken.

Responsibilities

• Write your thesis at Accenture's office during the internship.
• Collaborate with Data & AI teams on topics in data science, ML engineering and Generative AI.
• Talk with colleagues about thesis topics and gain hands-on client project exposure.
• Expand your network by attending team meetings, mentor sessions, trainings and guest lectures.
• Present thesis results or internship experiences at team meetings.

Skills

Data & AI topics

Python

SQL

Machine learning

PyTorch

Sklearn

PowerBI

Matplotlib

English proficiency

Education

Academic Master internship

Tools

Python

SQL

PowerBI

PyTorch

Sklearn

Matplotlib

Job description

Accenture PLC in Amsterdam is offering a master’s graduation internship in Data & AI for 5–9 months with 32–40 hours/week. The role centers on developing AI-driven solutions while you write your thesis at the office, with exposure to client projects and a chance for a future permanent role.

You are a master’s student with strong data science, computer science or AI background, fluent in English, and capable of independent work and collaboration. Hybrid work and a laptop are provided.