Data Science Intern: GenAI, RAG & Insights

McKinsey & Company, Inc.; Amsterdam; Hybrid; EUR 17,000 - 34,000; Full time

Benefits offered by this job

Mentorship

Hands-on projects

Job summary

McKinsey & Company invites you to join an 8-12 week analytics internship in Amsterdam, collaborating with data scientists, data engineers, and ML engineers to build and validate RAG systems, deploy LLM use cases, and translate business problems into technical tasks.

You will gain hands-on experience in data analysis, modeling, and visualization, supported by mentorship and structured feedback, with opportunities to learn McKinsey and QuantumBlack's approach at scale.

Qualifications

• Experience with Retrieval-Augmented Generation (RAG) systems or LLM use cases is a strong plus.
• Strong interest in applying machine learning and statistical analysis to real-world problems.
• Foundational experience in Python for data analysis and model prototyping.

Responsibilities

• Contribute to interdisciplinary teams for analytics projects.
• Support building and validating ML models and RAG systems.
• Help clients adopt GenAI and develop visualizations to reveal insights.

Skills

RAG systems

LLM use cases

Python

Data analysis

Visualization

Pandas

NumPy

Scikit-learn

Tools

Pandas

NumPy

scikit-learn

Job description

McKinsey & Company invites you to join an 8-12 week analytics internship in Amsterdam, collaborating with data scientists, data engineers, and ML engineers to build and validate RAG systems, deploy LLM use cases, and translate business problems into technical tasks.

You will gain hands-on experience in data analysis, modeling, and visualization, supported by mentorship and structured feedback, with opportunities to learn McKinsey and QuantumBlack's approach at scale.