Morgan Philips Specialist Recruitment

Data Scientist Machine Learning Engineer

Open 35d Europe

Analytics AWS Azure Big Data Cloud +16 skills

Data Scientist / Machine Learning Engineer for a financial-sector company in Spain (hybrid: 3 days onsite, 2 remote). Day to day you build and productionize predictive ML models for use cases like credit scoring, fraud, churn, pricing and collections, using Python, SQL, Scikit-Learn/XGBoost/LightGBM, with visualization tools and exposure to MLOps, cloud and generative AI.

Hybrid Data Scientist & ML Engineer (Finance)

Open 37d Europe

Machine Learning Python SQL

Data Scientist / ML Engineer at a financial-sector company in Madrid: design, develop, and put advanced analytical solutions into production while collaborating with business and tech teams. Requires 2–5 years of experience with advanced Python, SQL, and machine learning; hybrid work (3 days on-site, 2 days remote) on a permanent contract.

Data Scientist Machine Learning Engineer

Open 37d Europe

Analytics AWS Azure Cloud Data Engineering +14 skills

Data Scientist / ML Engineer at a financial-sector company in Madrid: designs, trains, deploys and monitors predictive ML models for use cases like credit scoring, fraud, churn and pricing, working with large datasets in Python and SQL, building BI dashboards and exploring GenAI/LLM initiatives. Hybrid: 3 days on-site, 2 from home.

Data Scientist & ML Engineer — Remote Hybrid & Growth

Open 38d Europe

Data Scientist / Machine Learning Engineer for a financial-sector company in Madrid: designing, developing and putting analytical/ML solutions into production while collaborating with business and tech teams. Hybrid setup (3 days on-site, 2 from home), permanent contract, with internal training and career growth.

Machine Learning

Hybrid Data Scientist & ML Engineer (Finance)

Open 40d Europe

Machine Learning Python SQL

Data Scientist / ML Engineer for a financial-sector company in Madrid: designing, developing and deploying advanced analytics solutions in collaboration with business and tech teams. Requires 2-5 years of experience with advanced Python, SQL and machine learning; hybrid setup with 3 office days and 2 remote days.