Responsibilities
- 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.
Basic qualifications
- 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
Benefits
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
Tags & focus areas
Used for matching and alerts on DevFound Ai Machine Learning Data Science Data Engineer Generative Ai