Director, Data Science

Liberty Mutual Insurance

87d

About The Position

The creative problem-solvers in Liberty Mutual’s Insights & Solutions group harness the power of data, analytics and technology to develop innovative solutions that drive our US Retail Markets business forward and support a high-performing culture. This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you’ll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. Our data engineers write code that turns trillions of bits of information into structured data—data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team’s success now and into the future. Join Demand and Decision Science to lead cutting-edge modeling efforts that shape pricing segmentation, customer retention and strategic business decisions for US Personal Lines. You’ll combine technical expertise with business insight, delivering actionable recommendations and innovative solutions that drive organizational success. The USRM Data Science org is excited to announce an opening for Director II, Data Science on the Demand and Decision team to develop our tactical pricing capabilities. This role focuses on the Personal Lines Property & Specialty Demand lines of business and involves leading a new team tasked with proactively identifying pricing segmentation opportunities across select states and business segments. Candidates should possess a strong ability to collaborate effectively across departments, demonstrate deep expertise in personal lines product design and rating, and the ability to develop a comprehensive understanding of predictive modeling tools and techniques.

Requirements

• Deep knowledge of predictive analytic techniques and statistical diagnostics of models.
• Expert knowledge of predictive toolset, to include highly technical tools.
• Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent.
• Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts.
• Ability to establish and build relationships within and outside the aligned functional area or SBU.
• Ability to give effective training and presentations to management and other groups.
• Presents to senior or functional department leaders or executives.
• Broad knowledge of business drivers and market context.
• Has a value driven perspective with regard to understanding of work context and impact.
• Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.

Nice To Haves

• Insurance or financial services industry experience preferred.

Responsibilities

• Oversee the management, technical oversight, and development of a team of data science professionals focused on tactical pricing strategies.
• Collaborate with business partners to both ensure appropriate reaction to emerging trends and proactively identify areas of concern.
• Establish frameworks outlining decision-making processes to drive the identification and evaluation of tactical pricing opportunities.
• Support the implementation of tactical pricing changes, ensuring robust consultation and collaboration across the org regarding state-specific opportunities.
• Engage with stakeholders to discuss state-specific opportunities and triage actions.

Benefits

• Comprehensive benefits and continuous learning opportunities.
• Environment where employees can succeed, both professionally and personally.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees