Data Scientist Intern - QuantumBlack, AI by McKinsey

Descrizione del lavoro:

You will be part of interdisciplinary teams for 8-12 weeks, 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, AI by McKinsey approach data science at scale

Requisiti del candidato:

* Undergraduate degree in progress
* Experience through coursework or projects in building Retrieval-Augmented Generation (RAG) systems or implementing Large Language Model (LLM) use cases is a strong plus
* 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
* 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 in English, with the ability to adjust your style to suit different perspectives and seniority levels. Knowledge of Dutch or French is desirable