Data Scientist Intern: GenAI, RAG & Analytics

McKinsey & Company, Inc.; Paris; Hybride; EUR 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

World-class benefits

Mentorship program

Global exposure

Résumé du poste

McKinsey & Company, Inc. offers a 6-month end-of-year internship in Paris, working with data scientists, engineers, and ML engineers to build analytics solutions and explore GenAI use cases.

You will translate business problems into technical tasks and contribute to client-ready insights with mentorship and structured feedback to accelerate your growth. You will gain hands-on experience developing RAG systems, collaborating in interdisciplinary teams, and learning how McKinsey and QuantumBlack

Qualifications

• Recent graduates or final-year students from Cycle ingénieur, Master of Engineering, or PhD programs with expertise in computer science, data, machine learning (MVA), or artificial intelligence
• Strong interest in applying machine learning and statistical analysis to solve real-world problems
• Foundational experience in Python (preferred) or R for data analysis and model prototyping
• Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
• Basic understanding of data wrangling, visualization, and exploratory analysis

Responsabilités

• Support project teams by conducting exploratory data analyses and validating simple models
• Help clients adopt GenAI and develop RAG systems and visualizations
• Contribute to internal knowledge base and tool development
• Translate business problems into technical tasks and deliver measurable client impact

Connaissances

Python

Data analysis

Machine learning

RAG systems

LLM use cases

Visualization

Pandas

NumPy

French-English comms

Formation

Cycle ingénieur

Master of Engineering

PhD

Outils

Git

Jupyter

Python

Description du poste

McKinsey & Company, Inc. offers a 6-month end-of-year internship in Paris, working with data scientists, engineers, and ML engineers to build analytics solutions and explore GenAI use cases.

You will translate business problems into technical tasks and contribute to client-ready insights with mentorship and structured feedback to accelerate your growth. You will gain hands-on experience developing RAG systems, collaborating in interdisciplinary teams, and learning how McKinsey and QuantumBlack