- Ideate and build machine learning models for the purpose of improving pricing segmentation
- Investigate cross-lines segmentation opportunities with the goal of improving pricing segmentation. Support new 3PD evaluation as need.
- Develop models which conform to any implementation constraints and work with data engineering to validate and deploy these models
- Manage portions of business or technical projects focused on the design or development of analytical solutions.
- Share expertise with the community through discussions, presentations, or peer reviews
- Set and manage expectations with business partners for small projects, and with limited guidance, identify potential conflicts and build consensus.
- Communicate analysis, insights, and results to team, peers, and business partners, and with guidance, tailor communication to the audience.
- Be a mentor or resource for less experienced analytic talent, onboard new employees and interns, and support recruiting and talent assessment efforts.
- Support various training and skill development initiatives.
- Perform other duties as assigned.
- Masters in STEM related field or equivalent
- 5 years of related experience
- 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.
- 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.
- 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.
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Manager and Senior Data Scientist - St. Paul, United States - Travelers
Description
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, $228,800.00
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 Manager & Sr. Data Scientist, you will build sophisticated models that solve important business problems and enhance our customer experience. The primary responsibility will be supporting pricing segmentation acceleration leveraging non-traditional model techniques and new data sources across all commercial lines. This will include owning portions of the research/ownership/implementation of machine learning and AI models to support pricing and UW across all commercial lines. You will employ storytelling using data to communicate insights and findings to stakeholders. This role may manage others.What Will You Do?
What Will Our Ideal Candidate Have?
What is a Must Have?
What Is in It for You?
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.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit
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