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# Data Scientist - Financial Services Lab

- **Company:** Mckinsey U0026 Company
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Third Normal Form, Airflow, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Dataspaces, Data Vault Modeling, Decision Support Systems, Distributed Systems, Python (Programming Language), Unstructured Data, Pytorch, ReactJS, Generative AI, Git, Fastapi, Pandas, Scikit Learn, Kubernetes, HuggingFace, Data Analytics, Xgboost, Docker, Unsupervised Learning, Databricks
- **Published:** August 8, 2026
- **Apply:** https://www.buscojobs.com.es/data-scientist-financial-services-lab-en-madrid-ID-366021570

## About the Role

* 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

## Description

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 / Beneficios* 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 impactResponsabilidades* 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 audiencesRequisitos principales* competitive salary* comprehensive benefits package* world-class learning and apprenticeship culture* global community across 65+ countries


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