Data Scientist Professional (32632)

Key Responsibilities • Develop predictive models for risk, claims, and segmentation. • Transform complex business challenges into analytical solutions. • Work with structured and non-structured data, ensuring quality and scalability. • Build dashboards, reports, and monitoring frameworks. • Leverage Databricks, Python, and modern analytics tools. • Support actuarial modeling and business strategy through data insights. • Provide actionable recommendations to stakeholders. Requirements • Strong experience in Data Science or Advanced Analytics. • Advanced Python and statistical modeling skills. • Experience with complex, real-world datasets. • Knowledge of data engineering concepts and data pipelines. • Experience with Databricks is a strong plus. • Insurance, mobility, logistics, or financial services experience is preferred. • Strong analytical, problem-solving, and communication skills. What We Offer • Direct impact on product, pricing, and business strategy. • Exposure to leadership and business decisions. • Opportunity to build innovative solutions from the ground up. • Collaborative and dynamic environment with modern technologies.