Senior Data Scientist

Lead the development and implementation of data-driven solutions that improve our underwriting processes, pricing models, risk assessment, and client experience strategies. Analyze large, complex datasets to identify patterns, trends, and potential client risk factors that align with our product offerings or could impact our loss ratios. Apply statistical modeling and predictive analytics techniques to create models that enhance the accuracy and efficiency of insurance risk assessments and pricing decisions. Collaborate with cross-functional teams, including actuaries, underwriters, data and infrastructure engineers, and IT professionals, to drive data-centric initiatives and foster a culture of data-driven, AI-enhanced decision-making. Design and implement machine learning algorithms and artificial intelligence techniques to automate and optimize operational processes, such as prospect identification, policy assessment and evaluation, claims management and client insight presentation. Provide guidance and mentorship to analysts and data engineers, promoting knowledge sharing and skill development within the team. Educate and mentor functional leaders and peers in other departments on the potential applications of ML/AI technologies to their domains. Stay up-to-date with industry trends, emerging technologies, and best practices in data science and insurance analytics to drive continuous improvement and innovation.