We are seeking a Core Data Scientist to deliver GenAI and machine learning models that align with our broader business & AI strategy. As part of a cross-functional delivery team, you work directly with business experts and SCOR clients, developing a strong understanding of their needs and build impactful AI models, 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 AI ambition, working in a global team of AI and data experts on some of SCORs (and SCOR’s clients) most important challenges and opportunities.
Key duties and responsibilities
Approach
Develop advanced statistical, predictive, or machine learning models using deep knowledge of the algorithms and hyperparameters and systematically applying coding best practices.
Have a high degree of autonomy when developing models and determining the appropriateness of a given approach
Structure thoughts and guidelines in advance way when using agentic tools – being in capacity to challenge intermediate results, robustness and to manual reproduce specific outcomes for proper validation.
Projects
Being a hands-on and active doer in the delivery of projects
Help driving innovation in insurance areas through close collaboration with different parties including the client, underwriters, and actuaries.
Contribute to key topics of priority to the team and deliver on-time to agreed quality standards
Be a key contributor to regional market projects as first priority, but also a core contributor on global projects including OCR, NLP, Gen AI, visualization, templates, etc.
Support strategic innovation initiatives globally to transform process (e.g. underwriting) from a machine learning perspective.
R&D
Proactively identify relevant R&D for business needs
Be able to conduct research spikes to solve technical challenge
Communication
Increase the interpretability of models through advanced understanding of artificial intelligence and machine learning
Present results to stakeholders; clearly communicate complex topics by applying appropriate interpretation techniques and visualizes these for the benefit of internal/external clients
As a member of the Data Science chapter, the Core Data Scientist will be an ambassador of the existing chapter and contribute to it (participating to training, maintain a certain level of knowledge by getting training as well on advance topics and developing skills): Be a key distributor of knowledge within SCOR globally
Spread data science knowledge externally through seminars and publications
Compliance
Adhere to all Information Security policies and best practices, including security awareness training and other information protection initiatives
Be fully compliant with GDPR and other local data protection legislation
Be aware of regulatory and reputational risk when developing consumer-facing AI tools and suggest ways of mitigating these
Required experience & competencies
Communication skills
Follows some quality standard when presenting / documenting / communicating
Business acumen
Understands instructions and contributes to the vision by questioning or enriching the tasks defined during a project
Required Education
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.
SCOR, one of the world's largest reinsurers, provides its clients with a diversified and innovative range of solutions to control and manage risk. Using its experience and expertise, “The Art & Science of Risk”, SCOR provides cutting-edge financial solutions, analytics tools and services in all areas related to risk – in Life & Health as well as in P&C.
The reinsurance industry is about combining technical expertise and experience with the developments of science. However many tools we use to conduct our activities (models, databases, pricing tools, reserving tools, and so on), we also need expert judgments and human experience to correctly underwrite. This is what we call the art of underwriting. Reinsurance is a knowledge industry. Expertise is an accumulation variable.
The most advanced tool will never replace the intuition of a seasoned underwriter facing a complex risk. Because at the end of the day, you have to make a decision, to sign, to underwrite. And what we have underwritten, we cannot overwrite - our word is our bond, as is our signature. This dimension of our business, linked to the art of underwriting, is more important than some observers would have people believe.
One way to acquire this art is to share experiences – both good and bad – and to share doubts and questions. Artists always belong to a school, from which they learn their craft.
Like artists, we have to learn, imitate, mimic, and then innovate, in order to find our own style and create our own distinctive work.
