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Sr Data Scientist - Enterprise Artificial Intelligence

Travelers
Hartford,CT
Full-time

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

$138, - $228,

Target Openings

What Is the Opportunity?

Collaborative Environment, Transformational Projects, and a Growing Team!

As a member of Enterprise Data & Analytics (ED&A), you’ll be joining a strategic and collaborative team that is passionate about transforming our business and bringing our technology capabilities to the next level.

We are at the center of multiple cross-functional, complex initiatives accelerating the deployment of AI, including generative AI, across the insurance value chain.

Our team members will have opportunities for large-scale impact as well as opportunities for long-term career growth. As a Data Scientist, you will be responsible for working with business partners and collaborating with other technologists to build sophisticated, data-powered solutions that solve key business challenges and enhance our customer experience.

Join us in our journey to build the future of insurance with data at its core!

What Will You Do?

  • Managing portions of business or technical projects focused on designing and developing analytical solutions.
  • Leveraging advanced AI techniques, including generative AI, bringing novel technological approaches to existing business domains.
  • Sharing expertise with the community through discussions, presentations, and peer reviews.
  • Managing expectations with stakeholders and building consensus by collaborating with business partners to plan and execute transformational data-driven solutions.
  • Communicating analysis, insights, and results to manager, peers, and business partners.
  • Being a mentor or resource for less experienced analytic talent, onboarding new employees and interns, and providing support for intern recruiting and talent assessment efforts.
  • Supporting various training and skill development initiatives.
  • Performing other duties as assigned

What Will Our Ideal Candidate Have?

  • Masters in STEM related field or equivalent
  • Advanced working knowledge of modeling / research / analytics or actuarial required
  • Strong grasp of value creation and business model concepts
  • Advanced knowledge of multiple statistical software programs
  • Ability to develop advanced models and interpret model results
  • Application of advanced statistics underlying data models
  • Ability to develop emerging statistical procedures to work
  • Advanced knowledge in 2-3 of the following : 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 three years of experience, or PhD in Statistics, Mathematics, Decision Sciences, Actuarial Science or related analytical STEM field plus zero 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.
  • Retirement : Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum.

If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account.

You are also eligible for a Pension Plan that is 100% funded by Travelers.

  • Paid Time Off : Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program : The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs.

In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.

Volunteer Encouragement : We have a deep commitment to the communities we serve and encourage our employees to get involved.

Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices

Travelers is an equal opportunity employer. We believe that we can deliver the very best products and services when our workforce reflects the diverse customers and communities we serve.

We are committed to recruiting, retaining and developing the diverse talent of all of our employees and fostering an inclusive workplace, where we celebrate differences, promote belonging, and work together to deliver extraordinary results.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

30+ days ago
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