Data Scientist

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 Science

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

$129,200.00 - $213,200.00

Target Openings

1

What Is the Opportunity?

Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms. As a Data Scientist, you will work with business partners to tell the story using data by identifying challenges and opportunities for data analysis and experiments. You will build models that solve key business challenges and enhance our customer experience.

This position is responsible for contributing to the development, deployment, and maintenance of commercial auto rating and benchmark pricing models. Development responsibilities will include data prep, model building, model refreshes including contributions to evaluating third-party data products.
Deployment tasks will include collaborating with enterprise business partners to support model filings and contributing to implementation design.
Maintenance expectations will include recurring post-monitoring efforts to ensure successful rollout of commercial auto pricing models countrywide.

Candidates should be able to demonstrate a competency in working with Generalized Linear Models (GLMs) and Gradient Boosting Machines (GBMs).
The ideal candidate will have a strong track record of applying these techniques to solve complex data-driven problems and deliver actionable insights. Proficiency in statistical software and programming languages
commonly used for implementing GLMs and GBMs is essential.

What Will You Do?

• Assist in design and development of analytical solutions.
• Share knowledge with the community through discussions, presentations, or peer reviews.
• Begin to set and manage expectations with business partners for small projects, and with guidance, identify potential conflicts and build consensus.
• Communicate analysis, insights, and results to manager, peers and business partners and with guidance, tailor communication to the audience.
• Become a mentor or resource for less experienced analytic talent, onboard new employees and interns, and provide support for intern recruiting and talent assessment efforts.
• Support various training and skill development initiatives
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Masters in STEM related field or equivalent
• 3 years of related experience
• Strong working knowledge of modeling/ research/analytics or actuarial required
• Relevant statistical analysis work experience required
• Strong Knowledge of statistical techniques with the ability to read/revise/ review statistical software programs
• Ability to develop models and interpret model results
• Understanding of advanced statistics underlying data models
• Ability to apply emerging statistical procedures to work
• Strong knowledge in: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling.

What is a Must Have?

• Master's degree in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus two years of experience or any suitable and equivalent combination of education and work experience.
• Heavy concentration in mathematics, including statistics and programming, business intelligence/analytics, as well as data science tools and research using large data sets. Additional verification of specific coursework will be required.

What Is in It for You?

• Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment