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Data Science Insurance Jobs in Connecticut (NOW HIRING)

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation is one of the largest commercial lines property and casualty insurers in the ... data science, and business teams to enable modeling and AI uses. • Apply AI‑assisted ...

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities ... Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.

Data Scientist

Windsor, CT · On-site

$86 - $146/hr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Experience working with big data, geospatial analytics, and/or probabilistic forecasting ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance ... Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a ...

Sr. Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Bachelor's degree in Management Information Systems, Data Science, Computer Science, or related ...

Showing results 41-60

Data Science Insurance information

See Connecticut salary details

$23.1K

$108.8K

$205.2K

How much do data science insurance jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science insurance in Connecticut is $108,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,187.00 and $154,554.00 per year, depending on experience, location, and employer.

What is a data science insurance?

A Data Science Insurance job involves using data analytics, machine learning, and statistical modeling to assess risks, detect fraud, optimize pricing, and enhance customer experience in the insurance industry. Professionals in this role analyze large datasets to identify patterns and trends that help insurers make data-driven decisions. They work with actuarial teams, underwriters, and claims departments to improve risk assessment and operational efficiency. This role requires expertise in programming languages like Python or R, as well as proficiency in data visualization, predictive modeling, and big data processing.

What are the key skills and qualifications needed to thrive in data science insurance?

To thrive in Data Science Insurance, you need strong analytical skills, proficiency in statistical modeling, and a solid foundation in mathematics and insurance principles, often supported by a degree in data science or actuarial science. Experience with programming languages like Python or R, data visualization tools, and knowledge of insurance-specific software or relevant certifications like ACAS or CSPA are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills are essential for translating complex data into actionable insights for diverse teams. These competencies enable professionals to accurately assess risk, improve decision-making, and drive innovation within insurance organizations.

What are some common challenges faced by data scientists working in the insurance industry?

Data scientists in the insurance sector often encounter challenges like working with large, complex, and sometimes incomplete datasets, as well as navigating strict regulatory frameworks. Balancing the need for highly accurate predictive models with the business's risk appetite and operational constraints is a key aspect of the job. Additionally, there's a strong emphasis on explaining complex analytical findings to non-technical stakeholders such as underwriters, actuaries, or business managers. These challenges foster collaborative problem-solving and help data science professionals sharpen both their technical and communication skills in a real-world environment.

What are the most commonly searched types of Data Science Insurance jobs in Connecticut?

The most popular types of Data Science Insurance jobs in Connecticut are:

What are popular job titles related to Data Science Insurance jobs in Connecticut?

For Data Science Insurance jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Science Insurance jobs in Connecticut look for?

The top searched job categories for Data Science Insurance jobs in Connecticut are:

Infographic showing various Data Science Insurance job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 19% Part Time, 2% Temporary, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $108,797 per year, or $52.3 per hour.

Data Engineer II (AWS, Python, SQL)

Travelers Companies (Import)

Hartford, CT • On-site

$126K - $208K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 28 days ago


Travelers Insurance rating

8.9

Company rating: 8.9 out of 10

Based on 175 frontline employees who took The Breakroom Quiz

47th of 310 rated insurance


Job 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 170 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.

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

$126,500.00 - $208,700.00

Target Openings

1

What Is the Opportunity?

As a Data Engineer II at Travelers, you'll play a meaningful role in how Business Insurance Property and General Liability pricing decisions are powered by data. Working alongside Actuarial and Data Science partners, you'll help turn analytical ideas into trusted, production-grade assets that directly influence pricing outcomes across core insurance products.
You'll build deep domain expertise in Property and GL while contributing to modernization efforts and future-facing pricing capabilities. Through complex, high-visibility initiatives, your work will strengthen data reliability, model readiness, and long-term scalability across pricing platforms.
The ideal candidate is motivated by solving complex data engineering problems and collaborating across functions. Your contributions will help advance Travelers' pricing strategies in a dynamic and evolving insurance marketplace.

What Will You Do?

  • Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases

  • Lead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams

  • Build and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements

  • Provide project leadership, planning, and execution across Property and GL data engineering initiatives

  • Execute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns

  • Translate actuarial and data science requirements into scalable, production-ready data solutions

  • Adopt and embed MLOps practices across the model development and implementation lifecycle

  • Establish data quality controls, profiling, and monitoring for model implementation and ongoing performance

  • Present analysis and technical recommendations to influence data architecture and implementation decisions

  • Provide technical leadership through code reviews, design guidance, and mentoring within the team

  • Apply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives

  • Perform other duties as assigned

What Will Our Ideal Candidate Have?

  • Bachelor's Degree in STEM related field or equivalent.

  • Eight years of related experience.

  • Deep, hands-on experience with modern engineering tools and practices, including:

    • Cloud platforms (preferably AWS) and model implementation in the cloud

    • Programming in Python and SQL

    • Working with data engineering concepts and building/maintaining data pipelines

    • AI-native solutions and modern software engineering practices (e.g., APIs, microservices, test automation)

  • Proven ability to deliver high-quality solutions at a steady, predictable pace:

    • Breaks work into small, releasable increments

    • Delivers complete, robust solutions while effectively managing tradeoffs

  • Demonstrated domain expertise, including:

    • Strong understanding of relevant technical concepts and industry trends

    • In-depth knowledge of the systems you've worked on and familiarity with adjacent systems

  • Strong problem-solving skills with a focus on building resilient, long-lived systems and finding innovative ways to resolve issues.

  • Excellent written and verbal communication skills, with the ability to collaborate effectively with engineers, product partners, and business stakeholders.

  • Proven experience leading or mentoring other engineers and helping to create a safe, inclusive environment where others can learn and grow.

  • Self-motivated, with a track record of proactively identifying opportunities, driving improvements, and following through on team efforts.

  • Preferred, Not Required:

    • Experience in or exposure to the insurance industry, or a strong desire to learn the domain.

    • Experience with Infrastructure as Code and DevOps tooling, such as Terraform and CI/CD pipelines.

What is a Must Have?

  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.

  • 4 additional years of data engineering experience.

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 value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

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 http://careers.travelers.com/life-at-travelers/benefits/.


What Travelers Insurance employees say

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About Travelers

Sourced by ZipRecruiter

We are an insurance company that cares. Travelers takes on the risk and provides the coverage you need to protect the things that are important to you — your home, your car, your valuables and your business — so you don’t have to worry. We have been around for more than 165 years and have earned a reputation as one of the best property casualty insurers in the industry because we take care of our customers. Our expertise and focus on innovation have made us a leader in personal, business and specialty insurance and the only property casualty company in the Dow Jones Industrial Average. Every day, our approximately 30,000 employees and 13,500 independent agents and brokers in the United States, Canada, the United Kingdom and Ireland help provide peace of mind to our customers.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1853