The Data Scientist role requires a strong statistical and programming foundation, hands-on experience building models, and a genuine interest in how models are deployed and maintained in production. This is an individual contributor role where you can make a real impact from day one, and we are open to a range of experience levels: you might be an early-career data scientist with a strong foundation and high potential, or a seasoned practitioner who already owns the full model lifecycle. Title and responsibilities will be calibrated to your experience. The role will report to the Director of Data Science. At our Risk, Analytics, & Data (RAD) team, we focus on Actuarial, Data Science, Data and Model Engineering, and Enterprise Risk Management functions. Our Actuarial and Data Science model environment and architecture is containerized, and we are cloud based, running on Azure. Our vision is to build highly automated and efficient processes to build, test, and deploy our models and products for enhancing actuarial, underwriting and claim insights with timely and relevant data-driven analytics and technology. We look to create models that require creative problem solving and a close collaboration with stakeholders across the organization, not limited by a ‘one size fits all’ mindset. In this role, you will work across the full model lifecycle — from analysis and model development through deployment, monitoring, and maintenance in production. As a member of a small, growing team, your scope will grow with you: you'll find both the support to develop new skills and the room to take ownership quickly.

The Business Systems Analyst plays a critical role in bridging business needs and technical solutions. This role involves close collaboration with stakeholders across departments to understand processes, uncover needs, and translate them into clear, actionable requirements. The BSA supports the full project lifecycle by facilitating discussions, analyzing impacts, identifying improvement opportunities, and ensuring that solutions align with business goals. This role also requires a working technical understanding of core business systems to support solutions in production, with collaboration and support from data and development teams.