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BBVA es una compañía global con más de 160 años de historia que opera en más de 25 países donde damos servicio a más de 80 millones de clientes. Somos más de 121.000 profesionales trabajando en equipos multidisciplinares con perfiles tan diversos como financieros, expertos legales, científicos de datos, desarrolladores, ingenieros y diseñadores.
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At BBVA we believe that Data is a main asset for achieving market differentiation. Commercial Banking Analytics is in charge of delivering value to the business units by participating in strategic projects that have a strong data component, or by creating actionable insights for optimizing the decision making processes at all levels of the Organization. Commercial Banking is a General unit based in Madrid and interacts with other global departments and with local units all across BBVA’s footprint (Spain, Mexico, South America and Turkey).
Sobre el puesto
Key Responsibilities
- Collaborate with key internal and external stakeholders to gather and understand needs and requirements.
- Develop clean, simple and creative code to manipulate large datasets.
- Design and implement robust analytic solutions ranging from basic statistical analysis to advanced machine learning / artificial intelligence models to cover the identified needs.
- Represent / visualize results in the most appropriate format and present your findings effectively to analytical and non-analytical audiences.
- Collaborate with IT teams to convert analytical proof of concepts into productive models.
- Contribute to the exploration and prototyping of Generative AI solutions, including RAG and agentic approaches, when appropriate for the business problem.
Required Skills And Experience
- Solid foundations in areas like:
- Statistical analysis is a MUST
- Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus
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📌 Data Scientist Commercial Banking (Madrid)
🏢 Bbva
📍 Madrid