What are the responsibilities and job description for the Assistant Director, Data Science, Small Commercial Product Design & Modeling position at Liberty Mutual Insurance Group?
Responsible for the price segmentation of a portfolio in excess of $4 billion, Small Commercial insurance team members of varied backgrounds execute on a wide array of critical initiatives. Conduct Cross Lines research to improve modeling accuracy and best practices across all Small Commercial Core lines of business Independently build or incorporate complex sub-models to improve accuracy Explore and utilize advanced modeling techniques Collaborate with Delivery, Underwriting Effectiveness, and other business partners to help implement new pricing programs Enable the business to make clear tradeoffs among choices, with a reasonable view into likely outcomes. Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations and business processes Effectively communicate results in written, oral, and presentation formats Act as a mentor and help develop less experienced analysts on the team Regularly engage with the data science community and lead cross functional working groups. Identify new strategic opportunities for use of theoretical methods and tools. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5 years of relevant experience.