Data Scientist, Banking Analytics & AI Innovations

BCO.BILBAO VIZCAYA ARGENTARIA; Madrid; Presencial; EUR 65.000 - 90.000; Jornada completa

Descripción de la vacante

BBVA in Madrid is seeking an experienced Data Scientist to develop robust analytic solutions and advanced AI models that drive business value. You will manipulate large datasets, apply statistical analyses, and design practical ML solutions while communicating findings to both analytical and non-analytical audiences.

You will also collaborate with IT to operationalize models and contribute to Generative AI exploration using RAG and AI agents to solve business problems.

Formación

• Statistical analysis experience is required.
• Experience applying machine learning for classification, regression and unsupervised tasks.
• Knowledge of time series, NLP, graph analysis, optimization and related data science techniques is a plus.
• Experience with prompting, fine-tuning and evaluating LLMs is a plus.
• Familiarity with Generative AI concepts and architectures (RAG, AI agents) is a plus.
• Advanced English and Spanish required.

Responsabilidades

• Collaborate with stakeholders to gather needs and requirements.
• Develop clean, simple code to manipulate large datasets.
• Design and implement analytic solutions from basic to advanced AI models.
• Represent and visualize results for analytical and non-analytical audiences.
• Collaborate with IT to convert proofs of concept into productive models.
• Explore Generative AI solutions and agentic workflows when appropriate.

Conocimientos

Statistical analysis

Machine learning

PySpark

Python

SQL

Data visualization

LLM knowledge

Generative AI

Cloud platforms

English & Spanish

Educación

MSc/PhD in Statistics, Computer Science, Applied Math

Herramientas

AWS Bedrock

PySpark

Python ecosystems

Descripción del empleo

BBVA in Madrid is seeking an experienced Data Scientist to develop robust analytic solutions and advanced AI models that drive business value. You will manipulate large datasets, apply statistical analyses, and design practical ML solutions while communicating findings to both analytical and non-analytical audiences.

You will also collaborate with IT to operationalize models and contribute to Generative AI exploration using RAG and AI agents to solve business problems.