This position is at McKinsey hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data Strong applied data science skills with experience in supervised and unsupervised learning, time series forecasting, clustering, optimization, geospatial modeling, and generative AI; familiarity with libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, Hugging Face Transformers, and pandas Solid engineering capabilities in Python and JavaScript, with hands-on experience building and operationalizing solutions using FastAPI and React Comfortable working with Git, CI/CD tools, and modern development workflows Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus Highly inquisitive and creative problem-solver with a passion for turning data into actionable insight Entrepreneurial and self-starting mindset, comfortable navigating ambiguity in a fast-paced, dynamic environment Collaborative, professional, and team-oriented, with a strong sense of ownership and service Strong communication skills with the ability to convey complex technical topics to both technical and non-technical audiences --

📌 Data Scientist (Madrid)
🏢 McKinseyEspaña
📍 Madrid