Hybrid Data Scientist (Python) – Banking Analytics

UST España & Latam; Madrid; Híbrido; EUR 40.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

23 days of Annual Leave

Health Care Plan

Teleworking compensation

Life and Accident Insurances

Free training platforms access

Flexible work options

UST Club Platform discounts

Descripción de la vacante

A leading multinational technology firm is looking for a Data Scientist to join their team in Madrid. You will lead the development of data-driven models, optimise data pipelines, and work closely with financial datasets. The ideal candidate has over 3 years of experience in Python and SQL, holds a Master's degree in a quantitative field, and possesses strong analytical skills. Enjoy a hybrid work model and numerous benefits including health care, training access, and annual leave.

Formación

• 3+ years of experience in Python for data analysis and automation.
• Good command of SQL for querying large-scale databases.
• Sound understanding of core probability and statistics concepts.
• Hands-on experience in data extraction and transformation.
• Good English level (C1) for working with international teams.

Responsabilidades

• Lead end-to-end development of data-driven models.
• Design and optimise robust data pipelines.
• Develop solutions for resolving financial data anomalies.
• Define performance metrics to evaluate model effectiveness.
• Create dashboards to visualize insights.

Conocimientos

Python for data analysis

SQL for querying

Machine learning concepts

Data visualization with Tableau

Educación

Master’s degree in Data Science or related field

Herramientas

pandas

scikit-learn

NumPy

PyTorch/TensorFlow

Git

Docker

Kubernetes

Descripción del empleo

A leading multinational technology firm is looking for a Data Scientist to join their team in Madrid. You will lead the development of data-driven models, optimise data pipelines, and work closely with financial datasets. The ideal candidate has over 3 years of experience in Python and SQL, holds a Master's degree in a quantitative field, and possesses strong analytical skills. Enjoy a hybrid work model and numerous benefits including health care, training access, and annual leave.