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

(00514) 00514-Data Scientist Senior

Mapfre

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

Job Description

At VERTI, we are looking for a Senior Data Scientist with extensive experience in the development, design, and end-to-end implementation of analytical solutions based on ML & AI. The ideal candidate will have a Data Product focus, strong communication skills with business units, and the ability to collaborate effectively within multidisciplinary teams.

LOCATION.- MADRID - CL. MARIA TUBAU, 10

JOB FUNCTIONS (KEY FUNCTIONS)

Understanding business needs and proposing analytical solutions based on ML & AI that help achieve their objectives

Design of analytical solutions, considering technical feasibility and business impact in collaboration with multidisciplinary teams

Perform descriptive analyses, data transformation pipelines, and train the most appropriate ML or DL models for each use case.

Presenting the findings and results to business stakeholders in non-technical language

Productivity of the same, accompanied by the MLOPs teams

Monitoring the impact on business, as well as technical metrics, and proposing improvements

Documentation of use cases and decisions made

Collaborate with multidisciplinary teams to identify and implement projects

Participate in defining methodologies and best practices within the department

REQUIRED TRAINING AND KNOWLEDGE

Statistics, Mathematics, Engineering

A master's degree in data science is a plus.

Solid knowledge of Python, Pyspark, and SQL

Knowledge of Cloud environments (Preferably AWS)

In-depth knowledge of advanced ML & DL techniques, both supervised and unsupervised

Knowledge of IAGen solutions

PROFESSIONAL EXPERIENCE REQUIRED FOR THE POSITION

Minimum of 5 years' experience in the development, training, deployment, and measurement of ML & DL projects

Minimum of 2 years' experience in implementing IAGen solutions

Minimum of 2 years' experience in implementing NLP solutions

View original advert (Spanish)

En VERTI buscamos un/a Senior Data Scientist con amplia experiencia en el levantamiento, diseño e implementación end to end de soluciones analíticas basadas en ML & IA. Con orientación Data Product, gran capacidad de interlocución con areas de negocio y de colaborar con equipos multidisciplinares.

UBICACIÓN.- MADRID - CL. MARIA TUBAU, 10

FUNCIONES DEL PUESTO (FUNCIONES CLAVE)

Comprensión de las necesidades del negocio y propuesta de soluciones analíticas basadas en ML & IA que ayuden a conseguir sus objetivos

Diseño de las soluciones analíticas, considerando la viabilidad técnica y el impacto en negocio en colaboración con equipos multidisciplinares

Realizar los analisis descriptivos, pipelines de transformación de los datos y el entrenamiento de los modelos ML o DL mas adecuados a cada caso de uso

Presentación de los hallazgos y resultados a los interlocutores de negocio en un lenguaje no técnico

Productivización de los mismos, acompañado de los equipos de MLOPs

Seguimiento del impacto en negocio, asi como de las métricas técnicas y proponer mejoras

Documentación de los casos de uso y decisiones tomadas

Colaborar con equipos multidisciplinares para identificar e implementar proyectos

Participar en la definición de metodologias y buenas prácticas dentro del departamento

FORMACION Y CONOCIMIENTOS REQUERIDOS

Estadística, Matemáticas, Ingenierias

Valorable master en ciencia de datos

Conocimientos solidos en Python, Pyspark y SQL

Conocimientos en entornos Cloud (Preferiblemente AWS)

Conocimientos profundos en técnicas avanzadas de ML & DL, tanto supervisados como no supervisados