Manager Data Scientist Commercial Banking BBVA

Overview Conoce más sobre el área : 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).

Sobre el puesto : We are looking for a results-oriented, enthusiastic and self-motivated senior data scientist with proven experience in designing and implementing data-driven solutions for business units to achieve tangible impact. You will apply your technical knowledge and programming skills to help business units create, develop, and / or optimize data-driven products, and derive actionable insights from data. You will also use your communication skills to share the results of your analysis with all relevant parties. You will use your project management skills to lead end to end data projects.

Responsibilities Collaborate with key internal and external stakeholders to gather and understand needs and requirements

Lead end to end data projects, managing all aspects : relationship with business, engineering, Data and development team

Lead and guide more junior data scientists to achieve the project and business objectives

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

Required Skills And Experience Solid foundations in areas like (the more the better)

Statistical analysis is a MUST

Machine learning for classification, regression and unsupervised tasks is a MUST (actual experience required). Reinforcement learning is a plus

Time series analysis is a plus

GenAI experience is a plus

Natural language processing is a plus

Graph analysis is a plus

Optimization is a plus

Signal and / or image processing is a plus

Programming experience :

Excellent programming skills and experience developing production-quality software.

Experience with SQL, Python, PySpark is a MUST (at least, two of them)

Real experience in designing and implementing analytical solutions with different programming libraries is a MUST

Knowledge of visualization tools and libraries is a plus

Experience with deep learning frameworks is a plus

Strong 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 is a plus

Natural inclination for sharing findings and engaging in problem-solving with teammates

Advanced level of English and Spanish

5+ 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 is a plus

Proficiency in Spanish and English is a MUST

Habilidades Algoritmos de ML (Clasificación), Análisis de datos, Inteligencia artificial (IA), Pensamiento analítico

Seniority level Mid-Senior level

Employment type Full-time

Job function Engineering and Information Technology

Industries : Banking

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