Data Scientist Commercial Banking - Associate II

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

Excited to grow your career? BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121,000 professionals working in multidisciplinary teams with profiles as diverse as financiers, legal experts, data scientists, developers, engineers and designers. Learn more about the area: 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 Global 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).

About the job:

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
• Knowledge of classical data science techniques (e.g. time series, NLP, graph analysis, optimization, signal and image processing) is a plus
• Experience prompting, fine-tuning, and evaluating LLMs is a plus
• Familiarity with Generative AI concepts and architectures, including RAG, AI agents, agentic workflows and Model Context Protocol (MCP), is a plus
• Experience with or exposure to cloud-based Generative AI platforms and tools, particularly AWS Bedrock, is a plus
• Programming experience: Excellent programming skills and experience developing production-quality software.
• Experience with SQL, Python, PySpark (at least, two of them).
• Real experience in designing and implementing analytical solutions with different programming libraries.
• Knowledge of relevant data science tools and frameworks, including visualization and deep learning libraries.
• Experience with tools and platforms for building and integrating LLM- and agent-based applications, including cloud services such as AWS Bedrock.
• Business sense to put data in perspective, and extract meaningful conclusions.
• Ability to translate academic results from scientific papers into actionable solutions.
• Experience and knowledge of the financial industry.
• Natural inclination for sharing findings and engaging in problem-solving with teammates, helping them with their challenges, and asking for their help when needed.
• Advanced level of English and Spanish.
• 3+ years of professional experience (data scientist, business intelligence, consulting…).

Preferred Qualifications

• MSc/ PhD in a relevant field such as Statistics, Computer Science, Applied Math, or other related subject.
• Working knowledge of the financial industry products/services and operations.
• Proficiency in Spanish and English.

Skills:

• Client Orientation
• Empathy
• Ethics
• Innovation
• Proactive Thinking

We are more than 121,000 colleagues across 25 countries, working in multidisciplinary teams where we understand the importance of work-life balance.

We support our clients in the energy transition and are committed to inclusive growth.

We are pioneers in adopting disruptive technologies that will shape the financial industry.

Dare to define the future of banking!