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Insurance Computer Science Jobs in Minnesota (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent ... Expert knowledge of insurance, accounting and rate-making concepts. * Strong ability to ...

Accurately enter test data into the designated computer program and maintain legible, organized ... Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term ...

Showing results 21-40

Insurance Computer Science information

What is the difference between Insurance Computer Science vs Insurance Underwriter?

AspectInsurance Computer ScienceInsurance Underwriter
Required CredentialsDegree in Computer Science, Data Analysis certificationsDegree in Business, Finance, or Risk Management
Work EnvironmentTech-focused, data-driven, often in offices or remoteOffice setting, assessing risks, interacting with clients and agents
Employer & Industry UsageInsurance companies, tech firms, insurtech startupsInsurance carriers, brokerage firms, underwriting agencies
Common Search & ComparisonInsurance Computer Science vs Insurance Underwriter

Insurance Computer Science professionals focus on developing and managing insurance-related software, data analysis, and technology solutions. In contrast, Insurance Underwriters evaluate risks and determine policy terms. Both roles are vital in the insurance industry but differ in skills, work environment, and daily responsibilities.

What is insurance computer science?

Insurance Computer Science is a specialized field that focuses on applying computer science principles, such as programming, data analysis, and systems development, to the insurance industry. Professionals in this area develop software applications, analyze large datasets, and create algorithms to streamline insurance processes like underwriting, claims management, and risk assessment. Their work helps insurance companies improve efficiency, reduce fraud, and deliver better customer experiences through technology. As digital transformation continues, the demand for computer science experts in insurance is growing rapidly.

What are some common challenges faced by computer science professionals working in the insurance industry?

Computer science professionals in the insurance industry often navigate challenges such as integrating legacy systems with modern technologies, ensuring data security for sensitive customer information, and adapting to frequent regulatory changes. Additionally, they may need to collaborate closely with actuaries, underwriters, and business analysts to develop and maintain robust software solutions that support underwriting, claims processing, and risk analysis. The fast pace of technological advancements in areas like AI, machine learning, and data analytics also requires continuous learning and adaptation.

What are the key skills and qualifications needed to thrive as an insurance computer science professional, and why are they important?

To thrive as an Insurance Computer Science professional, you need a strong background in computer science principles, data analysis, and a solid understanding of insurance industry processes, typically supported by a relevant degree. Familiarity with programming languages (such as Python, Java, or SQL), data analytics tools, and insurance software systems is highly valued, and certifications like CPCU or relevant IT credentials can enhance your profile. Analytical thinking, problem-solving abilities, and effective communication are vital soft skills for collaborating with technical and non-technical stakeholders. These skills ensure the creation of robust technology solutions that optimize insurance operations and support sound business decisions.
What are popular job titles related to Insurance Computer Science jobs in Minnesota? For Insurance Computer Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Insurance Computer Science jobs in Minnesota look for? The top searched job categories for Insurance Computer Science jobs in Minnesota are:
What cities in Minnesota are hiring for Insurance Computer Science jobs? Cities in Minnesota with the most Insurance Computer Science job openings:
Infographic showing various Insurance Computer Science job openings in Minnesota as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 100% In-person job distribution.

Data Scientist - Associate or Experienced Level

Xcel Energy

Minneapolis, MN • On-site

$84K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Xcel Energy rating

8.3

Company rating: 8.3 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

20th of 53 rated energy and utility


Job description

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for.

Position Summary


A Data Scientist will focus on developing specialized knowledge in particular domains to effectively address business specific challenges. Will work on solving mid-level complexity business problems by designing and implementing customized data solutions. This involves leveraging statistical analysis, machine learning techniques, and data visualization tools to create models and algorithms that provide actionable insights. By collaborating with other team members and stakeholders, they ensure that the solutions are aligned with business objectives and can be integrated into existing processes. Additionally, they will continuously refine their skills and stay updated with the latest advancements in data science to enhance their problem-solving capabilities and contribute to the organization's overall data strategy.

Essential Responsibilities

  • Collecting and cleaning data from various sources and ensuring data quality.

  • Manipulating and transforming data using tools like SQL, Python, and R.

  • Use statistical techniques and machine learning algorithms to perform exploratory data analysis to understand the nuances, patterns, and anomalies within the data.

  • Support development, validation, and deployment of machine learning & statistical models to predict, classify, and optimize various business outcomes.

  • Develop an understanding of delivering data science models in a production environment.

  • Creating impactful visualizations to communicate findings effectively.

  • Collaborating with stakeholders to understand business challenges and develop data-driven solutions to real-world problems.

  • Translating technical concepts into actionable insights.

  • Balancing learning with practical application.

  • Understanding project and team scope as it relates to broader strategic initiatives.

  • Effectively communicating findings to both technical and non-technical audiences.

** THIS POSITION IS ABLE TO BE HIRED AT EITHER OF THE LEVELS BELOW **

Associate Data Scientist - ($84,900 to $120,566.66)

Minimum Requirements

  • Bachelor's degree in computer science, data science, statistics, math or a related analytical concentration is required. Other bachelor's degrees with data science relevant certifications will be considered.

Data Scientist - ($97,600 to $138,600)

Minimum Requirements

  • Bachelor's degree in computer science, data science, math, statistics, math, or related with an analytical concentration.

  • A minimum of 3 years working as a data scientist or application developer (2 years with MS or Ph.D). Relevant certifications can be considered in lieu of a post graduate degree in combination with years of experience. (i.e. MLOps, data platform certs, etc.)

As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you're ready to be a part of something big, we invite you to join our team.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com.

Non-BargainingThe anticipated starting base pay for this position is: $84,900.00 to $138,600.00 per yearThis position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Reimbursement Account, Health Care Reimbursement Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.

In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.

Deadline to Apply: 08/09/26

EEO is the Law |EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)

All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.

ACCESSIBILITY STATEMENT

Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.


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About Xcel Energy

Sourced by ZipRecruiter

Xcel Energy is a prominent electricity and natural gas service provider serving multiple states in the United States, including Colorado, Michigan, Minnesota, New Mexico, North Dakota, South Dakota, Texas, and Wisconsin. Our commitment revolves around delivering essential services to our valued customers. As a trailblazer in the industry, we were the first major US electricity provider with a visionary goal to achieve 100% carbon-free electricity by 2050 and an ambitious 80% reduction in carbon emissions by 2030, based on 2005 levels. Through innovative electric vehicle initiatives, we actively contribute to carbon reduction not only in our electricity generation but also in the transportation sector within the states we operate. Simultaneously, we remain devoted to ensuring cost-effectiveness for our customers by implementing advanced electricity rates and energy efficiency programs.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1909