Data Scientist

Description

Job Summary: Join Santa Lucía's transformation by solving business challenges with data and AI, collaborating with multidisciplinary teams on advanced analytics and Machine Learning projects. Key Highlights: 1. Data- and AI-driven transformation in analytical and Machine Learning projects. 2. Interdisciplinary collaboration on generative AI solutions. 3. Technical leadership in Data Science and Artificial Intelligence projects. MISSION Join Santa Lucía's transformation and make a difference by solving real business challenges with data—delivering direct impact on customers and company results. JOB RESPONSIBILITIES Collaborate with stakeholders from your own unit and across other business and technical areas to define and develop analytical, Machine Learning, and AI projects—including generative AI—ensuring timely delivery and expectation alignment, overseeing committed deliverables, and proactively reporting progress, blockers, and potential risks. Work closely with various Santalucía Group departments and the Agency Network to deeply understand business problems, applying active listening and considering each unit’s specific context when designing data- and AI-based solutions. Analyze existing information and propose novel approaches to enrich it—including structured and unstructured data—to solve business challenges through traditional and generative analytical and AI solutions. Design, evaluate, and evolve AI-based solutions for real-world use cases, ensuring alignment with business objectives and Group technical standards. Define when to apply generative AI models versus traditional machine learning models, rule-based systems, or other analytical approaches—using sound technical and business judgment. Design and maintain AI solutions integrated with corporate data, and define business-relevant metrics—as well as metrics for the Data Science team. Promote responsible and controlled use of data and AI across the company, in accordance with internal security, privacy, compliance policies, and established quality and legal standards. Provide data processing and preparation capabilities when needed—supporting analytical and AI solutions—and ensure the quality of used information. Interpret outputs from analytical models, Machine Learning models, and generative AI systems; identify improvement opportunities; propose alternative strategies; and clearly communicate processes and conclusions to both technical and business audiences. Define and monitor KPIs for analytical models and AI solutions—including performance, quality, usage, cost, latency, potential drifts, and governance metrics. Lead Data Science and AI projects independently or collaboratively with other team members and external consulting teams—acting as the technical reference. Maintain and enhance existing analytical and AI solutions—ensuring their proper evolution and operational performance in production environments. Document developed solutions, justifying adopted technical decisions and defining associated operational processes. Support identification, evaluation, and negotiation with vendors of analytical and traditional/generative AI solutions—participating in defining required technical and control specifications for successful project execution. REQUIRED EXPERIENCE, KNOWLEDGE, AND SKILLS **Desired Experience:** Minimum 4 years’ professional experience in Data Science departments, with participation in advanced analytics and Artificial Intelligence projects. Practical experience in projects incorporating generative AI models (LLMs) and agentic AI applied to real business use cases. Knowledge of prompting techniques and generative AI system evaluation methods, as well as best practices for ensuring generative AI system quality—such as guardrails. Experience in the insurance sector and prior work at other insurance companies will be considered favorably. Teamwork experience. Experience coordinating and leading analytical and AI projects. Advanced mathematical and statistical knowledge, plus expertise in raw data preparation techniques (structured and unstructured—including text) and development of diverse Machine Learning models—e.g., time series, regression models—and support for generative AI solutions. Experience evaluating, monitoring, and improving generative AI models and solutions—including quality, usage, and output control metrics. A doctoral degree will be viewed favorably. **Required Knowledge:** Proficiency in Python and PySpark for developing analytical and AI solutions. Practical knowledge of applying generative AI models (LLMs) to business use cases. Familiarity with metrics and techniques for evaluating, monitoring, and ensuring quality in AI solutions. Understanding of data quality principles, security, and compliance requirements applicable to advanced analytics and AI projects. Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or another technical field. **Skills:** Communication skills for engaging both technical and business stakeholders; presentation skills; task coordination; and teamwork abilities in multidisciplinary environments. Preparation of reports and dashboards using reporting tools to communicate analytical model and AI solution outcomes. Ability to clearly explain how AI solutions work, their limitations, and their outputs to non-technical audiences. Collaborative mindset—we are scaling the Data Science and AI function across the entire Group. You will collaborate with people of diverse backgrounds and experience to build the best analytical and AI solutions that drive business impact. Critical thinking and sound judgment to assess appropriate AI usage versus alternative analytical approaches. At Santalucía Group, we work to guarantee real and effective equal opportunity—promoting professional development and workforce diversity—aligned with our commitment to UN Agenda 2030 Sustainable Development Goal 5 (Gender Equality). **Province:** Madrid **Company:** SANTALUCIA SEGUROS **Date:** 2 Jun 2026