Position Summary: We are seeking a Non-Life Actuarial Data Scientist for data exploitation and processing, applying analytical methodologies and data science. Key Points: 1. Data governance and traceability handling and scalability 2. Creation of data added value with infrastructure 3. Interconnection with other areas in collaborative projects **DATA SCIENTIST. NON-LIFE ACTUARIAL AREA 04/03/26** Location: Majadahonda Recruiter: Estíbaliz López **RESPONSIBILITIES** Information handling and scalable data governance and traceability: Within the organization’s platform, work cross-functionally on data democratization, exploitation, and processing. Analytical Methodology and Data Science: Creation and processing of data added value according to infrastructure. Data flow and processing, pipelines, feature engineering, modeling, cross-validation, and productionization. Interconnection 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; Actuary / Technical Engineer desirable. 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. Technical and executive communication skills. Results-oriented and organized.