HEAD OF DATA SCIENCE will lead an Advanced Analytics team of Data Scientists/Engineers responsible for advanced analytical solutions that include predictive analytics, machine learning, simulation, and optimization techniques to that generate management insights and enable customer-facing applications. Utilizes technical acumen and in-depth understanding of business processes and practices to influence the creation and execution of operational and strategic plans. Partners with IT and other areas to build major improvements to analytical processes and systems. Advises Senior Leadership on the development of data science solutions and long-term goals and or strategies. Maintains relationships with academic and industry thought leaders to ensure the enterprise has access to cutting-edge thinking and technologies.

Job Requirements

• Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.
• Oversees and executes the exploration of promising new technologies, analytical methods and data sources (internal to P&C INSURANCE BROKER & external) that have potential to add value to the enterprise.
• Partners with enterprise analytical and IT teams to build P&C INSURANCE BROKER core capabilities and processes.
• Identifies additional resource needs ranging from IT investments, 3rd party support or additional analysts.
• Understands the business direction, environment and strategies, to identify and recommend solutions that influence decision makers and drive change.
• Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.
• Builds and leads a high performing team of experts in advanced analytics. Develops team reputation as highly skilled experts in the field of data science.

WHAT IT TAKES!

• Master's degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree.
• 8 or more years of experience in predictive modeling, large data analysis and computer science
• 3 or more years of direct leadership experience
• Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis)
• Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python, PERL, Ruby)
• A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent)
• Evidence of successful development and implementation of data science solutions
• 2+ years of prior people management experience
• Experience of working in a cloud environment