




Job Summary: Data Scientist focusing on actuarial non-life, responsible for data exploitation, analytical methodologies, and cross-functional collaboration. Key Highlights: 1. Information management and scalability in data governance and data lineage 2. Creation and processing of data-added value 3. Interrelation with other areas in collaborative projects **DATA SCIENTIST. NON-LIFE ACTUARIAL DEPARTMENT 04/03/26** Location: Majadahonda Recruiter: Estíbaliz López **RESPONSIBILITIES** Information management and scalability in data governance and data lineage: Work cross-functionally across the organization's platform to exploit and process data democratization. Analytical Methodology and Data Science: Create and process data-added value according to infrastructure. Data flow and processing, pipelines, feature engineering, modeling, cross-validation, and productionization. Interrelation with other areas depending on project / collaborative work streams. **REQUIREMENTS** Proficiency in tools traditionally used in pricing and data analytics for data handling and modeling (Emblem, Earnix, Akur), Data Science and/or Python-based platforms, Amazon Web Services. Insurance company and/or specialized consulting firm in banking / insurance sector. Data Engineer / Data Scientist preferred with actuarial or technical engineering background. Solid experience in Pricing / Reserving projects. **COMPETENCIES** Analytical thinking and decision-making. Understanding of the insurance business. Proactivity and initiative. Quantitative mindset and technical judgment. Flexibility and adaptability to change. Ability to communicate technically and executive-level. Results-oriented and organized.


