ZipRecruiter

Log In

1

Data Science Insurance Jobs in Minnesota (NOW HIRING)

Fastenal Company

Data Support Analyst

Winona, MN · On-site

$50K - $65K/yr

... Data Science, MIS, Statistics, Economics, Mathematics, or in a related field of study o Experience ... This package includes Health, Life, Long Term Disability, and Dental Insurance, in addition to ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

... insurance and more, to help you and your family take care of your whole selves.Other benefits for ... emerging trends in data science, machine learning, and visualization technologies. Core ...

Target

Sr Data Analyst

Minneapolis, MN · Hybrid

$88K - $158K/yr

... insurance and more, to help you and your family take care of your whole selves.Other benefits for ... science, etc. * Utilize tools (Python, SQL) to build insights and solutions off varying data ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

... insurance and more, to help you and your family take care of your whole selves. Other benefits for ... emerging trends in data science, machine learning, and visualization technologies. Core ...

Target Brands, Inc.

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

... insurance and more, to help you and your family take care of your whole selves. Other benefits for ... science, etc. * Utilize tools (Python, SQL) to build insights and solutions off varying data ...

US Bank

Lead Architect - Data Lakehouse

Hopkins, MN · On-site

Enables BI, reporting, customer extracts, data science, and other use cases at enterprise scale ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

next page

Showing results 1-20

All JobsData Science Insurance JobsData Science Insurance Jobs in Minnesota

Data Science Insurance information

See Minnesota salary details

$22.3K

$105.3K

$198.7K

How much do data science insurance jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data science insurance in Minnesota is $105,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,524.00 and $149,629.00 per year, depending on experience, location, and employer.

What is a Data Science Insurance job?

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 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 key skills and qualifications needed to thrive in the Data Science Insurance position, and why are they important?

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 the most commonly searched types of Data Science Insurance jobs in Minnesota? The most popular types of Data Science Insurance jobs in Minnesota are:
What are popular job titles related to Data Science Insurance jobs in Minnesota? For Data Science Insurance jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Minnesota look for? The top searched job categories for Data Science Insurance jobs in Minnesota are:
Data Science Insurance jobs near you

Data Engineer II - Snowflake, dbt, AWS

The Whiteside Agency

Saint Paul, MN • On-site, Remote

$126K - $208K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

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.

Job Category
Data Analytics, Data Science, TechnologyCompensation 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?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate stories found in data by leveraging a variety of data programming techniques. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.What Will You Do?
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate.
  • Test data movement, transformation code, and data components.
  • 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.

  • Partner with upstream engineering teams to translate incremental source system releases into stable, consumer-ready data models - including managing schema drift, field migrations, and value mapping across two concurrently active platforms
  • Contribute to the design of a unified analytics data layer that gives downstream BI consumers a consistent view of claim data regardless of which source system it originated from, handling field-level translation and format normalization transparently

  • Proven experience with data warehousing and data consumption, including the design and management of multi-layer data architectures and data pipelines.

  • Hands-on proficiency with Snowflake, including working with views, streams, and other core platform features to support scalable data solutions.

  • Strong SQL skills and practical experience with dbt for data transformation, schema management, and building on top of existing data pipelines.

  • Demonstrated ability to perform data mapping, data virtualization, and optimize query and pipeline performance within complex data environments.

  • Experience with systems migration and integration, including translating and transforming data across platforms to ensure seamless interoperability.

  • Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems.

  • Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues.

  • Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners.

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/.

Apply