Data Scientist / ML Engineer for a financial-sector company in Spain (hybrid, 3 days on-site): analyzing large datasets and building, validating and deploying predictive models for credit scoring, fraud, churn, pricing and collections, plus GenAI initiatives. Core stack is Python, SQL, scikit-learn/XGBoost/LightGBM and BI tools, with Spark, MLOps and cloud as pluses.
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