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Data Science Insurance Jobs in Minnesota (NOW HIRING)

Collabera

Data Analysis

Eagan, MN

... Vision insurance, 401K retirement savings plan, Life Insurance, Disability Insurance ... or data science related field of study preferred. Additional Information To know more on this ...

Stem Xpert

Hadoop developer

Minneapolis, MN

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Gravie

Data Analyst

Minneapolis, MN · On-site

$49K - $66K/yr

... Science, Health Informatics, Economics, or other relevant area * 1+ years of experience in data ... Background or interest in health insurance or healthcare * Understanding of industry-specific ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

... Science, Health Informatics, Economics, or other relevant area * 1+ years of experience in data ... Background or interest in health insurance or healthcare * Understanding of industry-specific ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

... Science, Health Informatics, Economics, or other relevant area * 1+ years of experience in data ... Background or interest in health insurance or healthcare * Understanding of industry-specific ...

Sanford Health

Senior Data Modeler

Bemidji, MN · Remote

$40/hr

Qualifications Bachelor's degree required in computer science, management information systems, or ... Experience in data modeling and design within the health insurance or health care industry is ...

Ryan Companies

Data Analyst

Minneapolis, MN

$85K - $100K/yr

Bachelor's degree in data analytics, data science or a business-related field of study. * 3-5 years ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Partner with Enterprise Architects, Solution Architects, data scientists, and analysts to ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

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All JobsData Science Insurance JobsData Science Insurance Jobs in Minnesota

Data Science Insurance information

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$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
Big Data Engineer - 100% Remote

Big Data Engineer - 100% Remote

Genesis10

Inver Grove Heights, MN • On-site

$87.66 - $90.23/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

Job description

Genesis10 is currently seeking a Big Data Engineer for a contract position with an Agricultural Cooperative located in Inver Grove Heights, MN. This is a 4+ month contract opportunity.
Pay Range: $87.66 - $90.23 per hour based on experience and qualifications
Position Overview:
The Big Data Engineer will join the Data Engineering team to deliver scalable, governed, and business-aligned data products across the enterprise. The ideal candidate will partner with business stakeholders, analysts, and data scientists to translate requirements into reliable data pipelines, models, and consumption-ready assets using tools like Snowflake, dbt, SQL, and Python.
Primary Responsibilities:
  • Partner with business and technical stakeholders to gather requirements, define analytics needs, and transform source system data
  • Translate business requirements into scalable data models, pipeline logic, transformation patterns, and architecture decisions
  • Design, build, test, deploy, and maintain data pipelines across Snowflake, AWS, Microsoft, and related enterprise platforms
  • Develop governed data products that support reporting, analytics, data science, automation, and business decision-making
  • Build and maintain data models and transformations using SQL, Python, dbt, Snowflake, and modern data engineering practices
  • Collaborate with DevOps, architecture, security, analytics, and business teams to move solutions into production
  • Apply development standards including version control, code review, testing, documentation, and CI/CD
  • Support data governance practices including RBAC, access controls, naming standards, lineage, and data quality expectations
  • Identify opportunities to automate manual processes, improve data delivery, optimize performance, and reduce operational risk
  • Troubleshoot pipeline failures, data quality issues, access issues, and performance bottlenecks
  • Support migration and decommissioning of legacy platforms, reports, and manual data processes
  • Collaborate with analysts and data scientists to convert recurring ad hoc analysis into scalable data delivery solutions
  • Embody a culture of ownership, continuous improvement, documentation, innovation, and learning

Core Requirements:
  • Bachelor's degree in Computer Science, Information Technology, Management Information Systems, Engineering, Mathematics, or a related field
  • 3+ years of experience in data engineering, analytics engineering, business intelligence engineering, software engineering, or a related technical role
  • Strong SQL and Python skills with experience building, optimizing, and supporting data transformations or data pipelines
  • Experience developing data pipelines, ETL/ELT processes, data models, or analytics-ready datasets
  • Experience with Snowflake and dbt in a production data environment
  • Experience with cloud data platforms and services such as AWS, Microsoft Azure, or similar technologies
  • Experience translating business requirements into technical solutions
  • Strong analytical, problem-solving, communication, and documentation skills
  • Ability to work independently while collaborating effectively in a team environment

Desired Skills:
  • Experience with Azure DevOps, Git, CI/CD, APIs, AWS Lambda, S3, Octopus Deploy, Power BI, or related tools
  • Experience with governed data environments, RBAC, secure data access, data sharing, or enterprise data governance
  • Experience supporting medallion architecture, data products, domain-oriented data ownership, or self-service analytics
  • Experience working with analysts, data scientists, product teams, DevOps teams, enterprise architects, and business stakeholders
  • Experience in agriculture, energy, supply chain, logistics, trading, hedging, finance, or operations data domains

If you have the described qualifications and are interested in this exciting opportunity, please apply!
Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.
For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:
  • Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years
  • The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years
  • Access to an experienced, caring recruiting team (more than 7 years of experience, on average)
  • Behavioral Health Platform
  • Medical, Dental, Vision
  • Health Savings Account
  • Voluntary Hospital Indemnity (Critical Illness & Accident)
  • Voluntary Term Life Insurance
  • 401K
  • Sick Pay (for applicable states/municipalities)
  • Commuter Benefits (Dallas, NYC, SF, and Illinois)

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website .
Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#DIG10-MN
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About Genesis10

Sourced by ZipRecruiter

For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

New York, NY, US

Year founded

1999

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