Bankinter is one of Spain's most prominent and financially stable banking institutions, consistently ranked among the most solvent banks in Europe. Founded in 1965, the company operates across various segments including retail, commercial, and private banking, and is a key player on the IBEX 35 stock index. With a strong focus on digital transformation and innovation, Bankinter has established itself as a leader in the Spanish financial sector, serving millions of customers through its extensive network and advanced online platforms.

Headquartered in Madrid, Bankinter offers a dynamic environment for professionals looking to build a career in finance, technology, or corporate services within Spain. The bank is particularly attractive to international talent due to its expansion into markets like Portugal, Ireland, and Luxembourg, as well as its commitment to diversity and professional development. For expatriates and international graduates, Bankinter provides a structured entry point into the Spanish corporate world, often valuing multilingual skills and global perspectives in its specialized departments.

Founded in 1965 as a joint venture between Banco de Santander and Bank of America. It became an independent bank and listed on the Madrid Stock Exchange in 1972, eventually becoming a leader in digital and online banking.

For international professionals

Consistently ranked as one of the most solvent and profitable banks in the Eurozone, offering high job stability.
Headquartered in Madrid with a significant presence in major Spanish business hubs like Barcelona and Valencia.
Offers structured graduate programs such as the 'Programa Universitario,' which are excellent entry points for international students and early-career professionals in Spain.
Operates internationally in Portugal, Ireland, and Luxembourg, providing opportunities for cross-border collaboration and internal mobility.
Strong emphasis on digital banking and fintech innovation, making it a relevant choice for tech-focused finance professionals.

Data Scientist II

Bankinter

This job was originally posted in Spanish and automatically translated to English. You'll most likely need Spanish to apply.

Job Description

Required profile: studies, additional training, languages, specific technical training (programming languages, methodologies, etc.), total years of experience, concrete experiences (participation in specific projects, team management, etc.)

Bachelor's or Degree in Statistics, Mathematics, Actuarial Science, Physics, Business Administration + Computer Science, Mathematical Engineering, Physics, Computer Engineering or other engineering degrees.

A master's degree in Artificial Intelligence, Data Science, Machine Learning, Advanced Statistics, Advanced Data Analysis or similar will be valued.

Programming in R, Python, sql applied to analysis and modeling
Knowledge of Big Data platforms: Hive, Impala, Spark, SparkML, Pychar, HDFS,...

Knowledge of advanced analysis techniques and Machine Learning algorithms
Experience with tools such as keras/tensorFlow (machine learning) will be valued
At least two years of experience as a data scientist, as a data analyst with strong technical knowledge—either in the statistical-analytical field or in programming—or currently pursuing a PhD related to Artificial Intelligence.
Other valued knowledge:
Intermediate/high level of spoken/written English
Additional experience in visualization techniques or visualization tools (such as Spotfire, Tableau, qlikview, ...) will be valued

View original advert (Spanish)

Perfil requerido: estudios, formación adicional, idiomas, formación técnica específica (lenguajes de programación, metodologías, etc.), años de experiencia total, experiencias concretas (participación en determinados proyectos, gestión de equipos, etc.)

Licenciatura o Diplomatura en Estadística, Matemáticas, Actuariales, Física, ADE + Informática, Ingeniería Matemática, Física, Ingeniería Informática u otras ingenierías.

Se valorará un master en Inteligencia Artificial, Ciencia de Datos, Machine Learning, Estadística Avanzada, Análisis Avanzado de datos o similar.

Programación en R, Python, sql aplicado a análisis y modelización
Con conocimientos de plataforma Big Data: Hive, Impala, Spark, SparkML, Pychar, HDFS,...

Conocimiento de técnicas avanzadas de análisis y algoritmos de Machine Learning
Se valorará la experiencia con herramientas como keras/tensorFlow (aprendizaje automático)
Experiencia de al menos dos años como científico de datos, como analista de datos con fuerte conocimiento técnico, ya sea del ámbito más estadístico analítico como de la programación o cursando doctorado relacionado con Inteligencia Artificial.
Otros conocimientos a valorar:
con nivel de inglés hablado/escrito medio/alto
se valorará de forma adicional experiencia en técnicas de visualización o herramientas de visualización (tipo Spotfire, Tableau, qlikview, ...)