The Director, Data Science will focus on leveraging the company’s substantial data assets to deliver actionable business insights using predictive analytics, prescriptive analytics, machine learning, and artificial intelligence. The role will require a high degree of collaboration with the Berkley Oil & Gas Leadership team and cross-functional teams to develop and deploy advanced analytical solutions that generate measurable business value across underwriting, claims, finance, and actuarial practice areas. Responsible for deploying cutting-edge analytical solutions, the Director, Data Science will continuously explore data, data structures, modeling techniques, algorithms, software, programming languages, and testing methodologies to remain current with the state-of-the-art technologies. This role will serve as the lead architect for advanced analytical solutions at Berkley Oil & Gas. Provide thought-leadership and direction to company executives regarding how predictive analytics/machine learning/artificial intelligence can lead to value creation and to expand the Berkley Oil & Gas value proposition. Identify and capitalize on high-value opportunities to deploy predictive analytics/machine learning/artificial intelligence across the organization. Formulate, develop, and experiment with innovative ideas for leveraging internal and external data assets. Manage multiple team projects to ensure deliverables meet business requirements and ensure timely completion. Translate business requirements, for a given project, into novel technological solutions. Lead team members in the design, development, and implementation of advanced analytics that generate the desired business outcomes. Develop and implement methods for the automation of routine data science tasks and machine learning operations. Continuously evolve, document, and deploy team standard operating procedures to deliver high quality analytical solutions efficiently and accurately. Design and implement CI/CD frameworks and monitoring controls for analytical solutions to guarantee ongoing accuracy, reliability, and compliance with regulatory requirements. Act as lead architect in the development of analytical solutions. Develops and leads a high performing team focused on building strong analytical, predictive analytics/machine learning/artificial intelligence, research, and business skill sets. Actively recruits, coaches, and develops team members. Builds a psychologically safe work environment where team members are engaged and can positively contribute to team objectives.