Mapfre is a global insurance multinational and the leading insurer in the Spanish market, operating across five continents with a presence in over 40 countries. As a benchmark in the industry, the company provides a comprehensive range of insurance, reinsurance, and financial services, employing over 30,000 people globally and serving millions of customers.

Headquartered in Madrid, Mapfre offers a stable and traditional corporate environment with a strong emphasis on digital transformation. For international professionals, the company is particularly relevant for its growing tech and data hubs in Spain, which focus on Cloud computing, Artificial Intelligence, and Cybersecurity, though a high level of Spanish proficiency is generally expected for most positions.

Founded in 1933 as a mutual insurance company for rural estate owners in Spain, Mapfre expanded throughout the 20th century to become a diversified global financial group. It completed its demutualization process in 2006, leading to its current structure as a listed multinational corporation.

For international professionals

Largest Spanish insurance company with a massive global footprint and headquarters in Madrid.
Offers diverse career paths in technical fields such as Data Science, Cloud Operations, and AI Strategy.
Provides a robust benefits package including private health insurance, life insurance, and pension schemes.
Maintains a strong commitment to internal mobility and long-term professional development for its employees.
While the corporate language is Spanish, its global operations provide a multicultural environment for international hires.

This job was published 3 months ago

(00513) 00513-Data Scientist

Mapfre

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

Job Description

DATA SCIENTIST. NON-LIFE ACTUARIAL AREA 03/04/26

Location: Majadahonda

Recruiter: Estíbaliz López

FUNCTIONS

Information management and scalability, governance and data traceability: Within the entity's platform, work transversally on the exploitation and processing of data democratization.

Analytical Methodology and Data Science: Creation and processing of added value from data according to infrastructure.

Flow and treatment, pipelines, feature engineering, cross-modeling and evaluation, and productivization.

Interrelation with other areas according to project / collaborative work lines.

REQUIREMENTS

Experience with traditional pricing and data analytics tools for data processing and modeling (Emblem, Earnix, Akur), Data Science and/or Python Platform, Amazon Web Services is required.

Insurance Company and/or Specialized Consulting Firm in the Banking / Insurance sector.

Data Engineer / Data Scientist (Actuary / Technical Engineer preferred).

Solid experience in Pricing / Reserving projects.

COMPETENCIES

Analytical thinking and decision making.

Knowledge of the insurance business.

Proactivity and initiative.

Quantitative vision and technical criteria.

Flexibility and adaptation to change.

Technical and executive communication skills.

Results-oriented and organized.

View original advert (Spanish)

DATA SCIENTIST. ACTUARIO/A NO VIDA 04/03/26

Ubicación: Majadahonda

Reclutadora: Estíbaliz López

FUNCIONES

Manejo de la información y escalabilidad gobierno y traza del dato: Dentro de la plataforma de la entidad trabajar transversalmente en la explotación y tratamiento de la democratización del dato.

Metodología Analítica y Ciencia de Datos: Creación y tratamiento de valor añadido de los datos según infraestructura.

Flujo y tratamiento, pipelines, feature engineering, modelización y evaluación cruzada y productivización.

Interrelación con otras áreas según proyecto / líneas trabajo colaborativas.

REQUISITOS

Se requiere manejo de las herramientas en el ámbito de pricing y data analytics tradicionalmente para el manejo tratamiento de datos y modelización (Emblem, Earnix, Akur) Ciencia Datos y/o Plataform Phyton, Amazon Web Services.

Compañía Aseguradora y/o Consultoría Especializada sector Bancario / Asegurador.

Data Engineer / Data Scientist deseable Actuario / Ingeniero Técnico.

Experiencia sólida en proyectos en Pricing / Reserving.

COMPETENCIAS

Pensamiento analítico y toma de decisiones.

Conocimiento del negocio asegurador.

Proactividad e iniciativa.

Visión cuantitativa y criterio técnico.

Flexibilidad y adaptación al cambio.

Capacidad de comunicación técnica y ejecutiva.

Orientación a resultados y orden.