We are seeking an Analytics Product Specialist to deliver data and analytics products that align with our broader business & data strategy. As part of a cross-functional deliver team, you work directly with business experts, developing a strong understanding of their data needs and build impactful data & analytics products, in line with best practices on lean product delivery. You are part of the Data & Analytics Office, which drives the strategy, execution and governance of SCORs data ambition, working in a global team of data experts on some of SCORs most important challenges and opportunities.
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.
In this role, you leverage your technical skills, creativity and drive to improve business workflows to build powerful analytics products on Palantir Foundry. You are involved across the entirety of the product delivery cycle, from initial brainstorming workshops on developing product hypothesis, to building, testing and deploying an MVP, and iterating with users to incrementally create value. As you work together with business experts, you develop a deep understanding of where data & analytics can create value and start to contribute towards product roadmaps.
What awaits you?
What convinces us?