Manager, Decision Science - Personal Insurance

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 160 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category

Data Analytics

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$106,300.00 - $175,400.00

Target Openings

1

What Is the Opportunity?

At Travelers, our vision is to advance our ability to fuel analytic-driven business decisions by accelerating cross-enterprise collaboration and capabilities. As a Manager, Decision Science, you will combine data expertise, statistical principles, business understanding, relationship building, and communication skills that will help to advance analytical maturity and business outcomes. Through explanatory modeling and analytics as well as experimental design and related inferential techniques, you will surface actionable insights that influence business decisions and strategies. Simply put, you are helping the business understand 'the why' underneath business trends and data. This discipline focuses on supporting business areas and activities beyond pricing and reserving, including Product, Sales, Marketing, Operations, Human Resources, among others.

This is an individual contributor position.

What Will You Do?

• Utilize a deep understanding of the business to procure data for a specific analysis or prototypes for new data asset, while following coding best practices.
• Possess a strong command of internal data sources, explore new and unstructured data sources to assess potential business value.
• Determine and use appropriate techniques that may include diagnostic analysis, active monitoring and/or multivariate methods designed to answer business questions, test hypotheses, or assess impacts and results.
• Explore and suggest new data and analytic tools, techniques and industry best practices to apply to business problems.
• Apply appropriate visualization (charts, graphs, maps, etc.) to analytic insights so that they may be delivered to various audiences.
• Interpret and communicate findings to key stakeholders. Recommend optimal business action based on balancing business constraints and analytical findings.
• Leverage existing organizational partnerships across lines and functional teams to influence analytic outcomes.
• Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for recruiting and talent assessment efforts."
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Solid Python or R experience.
• Knowledge or background in Stats.
• Bachelor’s Degree in a STEM related field, or a Business School Master’s Degree with a concentration in a technical or analytical field.
• Four years of related data and analytic experience.
• Experience using explanatory, diagnostic, and inferential techniques such as experimental design, hypothesis testing, clustering analysis, time series and other statistical modeling algorithms with the ability to decide the appropriate methodology for the purpose.
• Experience working on large-scale multidimensional data using intermediate knowledge of open-source cloud-enabled analytical programming languages.
• Manage multiple projects simultaneously and follow through to ensure timely completion.
• Ability to foresee challenges and proactively look for ways to create more efficient processes for the business.
• Excellent written and verbal communication skills with the ability to explain analyses and methodology with business partners.
• Proactively build and own professional business relationships across the data & analytics community across the Enterprise.

What is a Must Have?

• Bachelor’s degree or three years of experience in data, analytics, engineering, science, technical analytical fields or relevant experience.

What Is in It for You?

• Health Insurance