Experteer Overview
In this role you will apply advanced analytics to large datasets to drive client impact and shape scalable solutions. You will work with cross-functional client teams to deliver week-one analyses and rapid analytics development, turning data into actionable insights. You join a collaborative, growth-focused culture that emphasizes apprenticeship, mentorship, and ethical, data-driven decision making. This opportunity offers exposure to a global, diverse network and a chance to build lasting capabilities in a high-performance environment.

Compensaciones / Ventajas
• Apply advanced analytics techniques to large-scale datasets and generate actionable insights
• Partner with client teams to deliver initial analyses and rapid analytics development
• Develop data-driven solutions and reusable insights for client outcomes
• Advocate for effective data usage and guide dataset and analytic strategy choices
• Collaborate across practices and technical teams to ensure integrated, cutting-edge delivery
• Maintain and communicate McKinsey's data ecosystem and capabilities to clients and internal stakeholders
• Promote awareness of data risk policies and refine KPIs for measured impact

Responsabilidades
• Master's degree in a quantitative field




• 2+ years of professional experience in data science or data engineering
• Experience with ETL, Airflow, and big data platforms (Databricks)
• Proficiency in data modeling (3NF, data vault) and working with structured and unstructured data
• Strong applied data science skills (supervised/unsupervised learning, time series, geospatial modeling, generative AI)
• Familiarity with libraries (scikit-learn, XGBoost, LightGBM, PyTorch, Hugging Face Transformers, pandas)
• Solid Python and JavaScript engineering capabilities; experience with FastAPI and React
• Experience with Git, CI/CD, and modern development workflows
• Familiarity with Azure; Kubernetes, Docker; distributed computing a plus
• Inquisitive, creative problem-solver with entrepreneurial, self-starting mindset
• Collaborative, ownership-driven, client-service attitude
• Strong communication skills to explain complex topics to technical and non-technical audiences

Requisitos principales
• competitive salary
• comprehensive benefits package
• world-class learning and apprenticeship culture
• global community across 65+ countries

📌 Data Scientist - Financial Services Lab (Madrid)
🏢 McKinsey u0026
📍 Madrid