Solid reputation, passionate people and endless opportunities. That's Travelers. Our superior financial strength and consistent record of strong operating returns mean security for our customers - and opportunities for our employees. You will find Travelers to be full of energy and a workplace in which you truly can make a difference.
Drive innovation in data science through discovering and/or developing new statistical, machine learning, and AI capabilities. Develop new, creative statistical modeling methodologies to increase model accuracy and/or process efficiency. Support the development of others to learn and leverage new modeling tools and approaches. Actively influence and engage with the broader analytics community across the enterprise.
Primary Job Duties & Responsibilities
As a leader in the Business Insurance R&D data science practice, this position has primary responsibility for driving and fostering new and evolving statistical techniques and computational capabilities (discover, incubate, innovate). Responsibilities may include: Leading efforts in Artificial Intelligence (AI) with emphasis on text and image analytics. Development of new, creative statistical modeling methodologies to increase model accuracy and/or process efficiency. Assessment and recommendation of new technology (software, hardware, packages, etc.). Exploration of emerging technology trends with potential data and analytics applicability to our business. Training and development of others to learn and leverage new modeling tools and approaches. Active influence and engagement with the broader analytics community across the enterprise. Develop and maintain effective relationships with business partners. Direct the development of new approaches to business problems. Partner with peers across the company to ensure consistency and alignment where appropriate.
PhD STEM (Science, Technology, Engineering, Mathematics) degree with 4 years experience or Masters STEM degree with 7 years experience or Bachelor's STEM degree with 9 yrs ex[eminence required. Advanced working knowledge of modeling/research/analytics or actuarial required. Relevant statistical analysis work experience required.
Education, Work Experience & Knowledge
Relevant work experience in directing and performing research and/or advanced analytic work (e.g. predictive modeling) in the insurance industry preferred.
Job Specific & Technical Skills & Competencies
Computer Proficiency: Ability to read/revise/review a statistical software program (e.g. R, SAS, SPSS). Ability to create or direct the development of advanced programs from scratch. Leading the Business: Problem Solving & Decision Making. Change Management. Influencing, Leadership, Power. Risk Taking, Innovation. Results Orientation. Business Perspective. Understanding & Navigating the Organization (Includes Collaboration). Strategic Planning. Leading Others: Forging Synergy. Communicating Effectively. Leveraging Differences. Building & Mending Relationships. Participative Management. Leading Employees : Employee Development. Leading Self: Openness to Influence. Flexibility. Self Awareness. Seeks Opportunities to Learn. Leadership Stature. Credibility. Business Acumen: Understanding and knowledge of key business knowledge areas (e.g. product, enterprise, industry, claim process and competitors). Ability to leverage business knowledge to set strategies and approaches to execution. Critical Thinking: Ability to take action in solving problems while exhibiting judgment and a realistic understanding of issues; ability to use reason; review facts, identify inconsistencies and weigh options; ability to make logical and timely decisions that address the right issues. Modeling: Ability to develop or direct the development of advanced models and interpret model results. Statistics: Understanding of advanced statistics underlying data models. Ability to apply or direct the application of new statistical procedures to work. Demonstrates excellent ability and knowledge of database principles, data profiling, statistics and insurance-related data modeling and can apply this knowledge in the most complex situations. Develops or directs individuals who develop new approaches, methods or policies in the area. Is recognized as an expert, internally and/or externally.
Equal Employment Opportunity Statement
Travelers is an equal opportunity employer.
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