Data Modeler – P&C
SCOR · Bucharest
We are seeking a Data Modeler for the P&C domain to join our Tech, Data & AI team. The successful candidate combines data modeling skills with a good understanding of (re)insurance processes. You bring the ability to translate functional requirements into structured, scalable, and business-aligned data models.
This position goes beyond pure technical modeling: it requires ownership of how (re)insuance data is represented across systems, ensuring consistency, traceability, and alignment with enterprise standards to support reporting, closing, planning, and decision-making.
As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.
Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.
As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
At SCOR, we combine the Art and Science of risk to help build more resilient societies. Data is at the heart of our mission. Within our Tech, Data & AI organization, we are looking for a Data Modeler in Property and Casualty (P&C) who is passionate about data modeling, ensures consistency of business representations at enterprise level, and contributes to the quality and governance of P&C data foundations. This role is focused on designing and managing P&C data models within our Data Foundation (Databricks & Palantir Foundry), including analytical data models and contributions to the enterprise Finance data model. The objective is to enable reliable reporting, efficient financial processes, and scalable analytics and AI use cases.