Working closely with business stakeholders and product teams, the Principal AI Engineer provides hands-on technical leadership and is accountable for the technical quality of assigned AI initiatives while promoting technical excellence, best practices, and innovation across the organization.
Design, develop, and deploy AI and advanced analytics products that address high-value business challenges across the P&C business.
Drive the end-to-end implementation of machine learning, generative AI, and data science solutions from experimentation to production.
Collaborate with business, product, and technology stakeholders to translate requirements into robust and scalable solutions.
Apply and promote best practices in model development, software engineering, MLOps, testing, and AI product lifecycle management.
Provide technical guidance, mentoring, and peer reviews to Data Scientists and Machine Learning Engineers, helping raise engineering and modelling standards across the team.
Contribute technical expertise to complex initiatives and support innovation through experimentation with emerging AI technologies.
Ensure solutions meet performance, reliability, governance, and responsible AI standards.
Experience and Skills
- At least 8 years of experience designing, developing and deploying AI, machine learning and advanced analytics solutions in production environments.
- Strong expertise in machine learning, generative AI, statistical modelling and software engineering.
- Proven experience developing and maintaining production-grade AI products, applications and services.
- Advanced experience in model validation, performance evaluation, interpretability, and the identification and mitigation of model limitations and bias.
- Strong programming skills in Python, including object-oriented programming, API development and frameworks such as FastAPI.
- Experience building AI solutions on cloud platforms, preferably Microsoft Azure.
- Strong understanding of AI industrialization practices, including MLOps, model packaging, CI/CD, testing, deployment and monitoring.
- Experience with cloud-native technologies, including Kubernetes, PostgreSQL, and cloud storage services.
- Ability to solve complex technical problems and deliver robust, scalable and maintainable solutions from concept to production.
- Strong communication and collaboration skills and ability to work effectively in multidisciplinary teams.
- Experience with Databricks and Palantir Foundry is a strong plus.
Education
- Master’s degree in Science, Technology, Engineering, Mathematics, Computer Science, Actuarial Science or similar quantitative field
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.
Skills Required
- At least 8 years of experience designing, developing, and deploying AI, machine learning, and advanced analytics solutions in production environments.
- Strong expertise in machine learning, generative AI, statistical modeling, and software engineering.
- Experience developing and maintaining production-grade AI products, applications, and services.
- Advanced experience in model validation, performance evaluation, interpretability, and identifying and mitigating model limitations and bias.
- Strong Python programming skills, including object-oriented programming, API development, and FastAPI.
- Experience building AI solutions on cloud platforms, preferably Microsoft Azure.
- Strong understanding of MLOps, model packaging, CI/CD, testing, deployment, and monitoring.
- Experience with cloud-native technologies, including Kubernetes, PostgreSQL, and cloud storage services.
- Ability to solve complex technical problems and deliver robust, scalable, and maintainable solutions from concept to production.
- Strong communication and collaboration skills in multidisciplinary teams.
- Master's degree in science, technology, engineering, mathematics, computer science, actuarial science, or a similar quantitative field.
- Experience with Databricks and Palantir Foundry.
What We Do
SCOR, one of the world’s largest reinsurers, serves more than 5,000 clients worldwide, providing a diversified and innovative range of solutions to control and manage risk. SCOR delivers advanced financial solutions, analytics and services across all dimensions of risk in Life & Health, Property & Casualty, and Investments. Reinsurance lies at the intersection of technical expertise and scientific progress. Models, data, and pricing and reserving tools are essential, yet they are never sufficient on their own. Sound risk decisions require expert judgment, experience and perspective. This is what we call the Art and Science of Risk. Reinsurance is a knowledge industry, where expertise grows through accumulation, transmission and practice. Across the Group, 3,600 experts based in more than 35 offices worldwide contribute to this collective intelligence. Actuaries, underwriters, risk management specialists, and Tech & Data experts transform data into insight, explore extreme scenarios, define the boundaries of insurability and help anticipate emerging risks. Together, they strengthen the resilience of SCOR, our clients and the societies we serve. This expertise is built through shared experience,continuous questioning and collective reflection. Like artists, we belong to schools of thought, learning first to observe, then to replicate, and ultimately to innovate. This ongoing transmission of knowledge enables SCOR to develop a distinctive approach, combining rigor, creativity and long-term vision in the service of risk mastery. This shared commitment underpins SCOR’s role as a global reinsurer. By turning risk into resilience and sustainable value, our collective of experts acts with responsibility and purpose. Together, we help protect the future, and shape it, for our clients, for society and for generations to come.
