Data Scientist Intern - QuantumBlack, AI by McKinsey

Beschreibung:

As a Data Scientist Intern, you will be part of interdisciplinary teams during a end-of-year internship of 6 months, developing analytics solutions that help solve clients' most pressing business challenges. Working closely with experienced Data Scientists, Data Engineers, and Machine Learning Engineers, you will support project teams by conducting exploratory data analyses, building and validating simple models, implementing LLM use cases, helping clients to adopt GenAI, and developing RAG systems and visualizations that help uncover insights from complex datasets.

You'll gain hands-on experience applying analytical thinking to real-world business contexts, learning how data-driven insights can transform organizations. Through mentorship and structured feedback, you will deepen your understanding of how to translate business problems into technical tasks, and how analytical solutions create measurable client impact.

You'll also contribute to the team's internal knowledge base and tool development, learning how McKinsey and QuantumBlack approach data science at scale

Ihr Profil:

* 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.
* Availability for a full-time internship of 6 months.
* 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.
* Familiarity with libraries such as pandas, NumPy, scikit-learn, or equivalent.
* Good analytical and problem-solving skills; ability to structure tasks and manage time effectively.
* Curiosity and a growth mindset-comfortable asking questions and learning new tools quickly.
* Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment.
* Willingness to travel.
* Team-oriented mindset and eagerness to learn from others.
* Strong communication skills, both verbal and written, in French and English, with the ability to adjust your style to suit different perspectives and seniority levels