Data & AI Thesis Internship: ML Engineering (Hybrid Amsterdam)

StudentJob; Amsterdam; Hybrid; EUR 5,600 - 6,700; Full time

Benefits offered by this job

Laptop

Internship allowance 500 €/month

Hybrid work

Job summary

Accenture is offering a graduation internship in Data & AI in Amsterdam with a flexible 5–9 month duration. The role combines thesis work at the office with hands-on client project support, mentoring, and team activities in a hybrid setup.

You will explore topics in Data Science, ML Engineering, and Generative AI, with examples including explainable AI tools, computer vision, and churn prediction models. English proficiency required.

Qualifications

• Master's student enrolled at a Dutch university for the entire duration of the internship.
• Nearing completion of master's degree and interested in thesis work.
• Analytically strong with the ability to derive insights from data.
• Background in Computer Science, Data Science, AI, Statistics, or related field.
• Experience with Python and SQL; ML techniques (NNs, Random Forest); frameworks (PyTorch, Sklearn); visualization tools (PowerBI, Matplotlib).
• Fluent in English (spoken and written).

Responsibilities

• Write your thesis at Accenture's office during the internship period.
• Support on client projects to gain hands-on consultancy experience.
• Attend team meetings, mentor sessions, trainings and guest lectures.
• Present thesis results or internship experience at team meetings at the end of the internship.

Skills

English fluency

Analytical thinking

Problem solving

Education

Master's student

Tools

Python

SQL

PyTorch

Scikit-learn

PowerBI

Matplotlib

Job description

Accenture is offering a graduation internship in Data & AI in Amsterdam with a flexible 5–9 month duration. The role combines thesis work at the office with hands-on client project support, mentoring, and team activities in a hybrid setup.

You will explore topics in Data Science, ML Engineering, and Generative AI, with examples including explainable AI tools, computer vision, and churn prediction models. English proficiency required.