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Data Science Insurance Jobs in Minnesota (NOW HIRING)

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer ... life insurance, disability coverage, and other life and work wellness benefits and discounts.

This role is a member of the Data Science team, which is focused on developing advanced analytic ... car insurance, pet insurance, flexible spending account, amongst many more. * We invest in your ...

This role is a member of the Data Science team, which is focused on developing advanced analytic ... car insurance, pet insurance, flexible spending account, amongst many more. * We invest in your ...

As we advance our data science and analytics capabilities, we want experts in modeling complex ... insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO)

Requirements * Computer Science, Statistics, Mathematics, or related field * Experience in ... Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital ...

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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:
Senior Lead Data Science Consultant

Senior Lead Data Science Consultant

Wells Fargo

Minneapolis, MN • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 688 frontline employees who took The Breakroom Quiz

67th of 142 rated banks


Job description

About this role:

Wells Fargo is seeking a Senior Lead Data Science Consultant within our analytics team for Business Banking. This role will be responsible for developing and delivering advanced customer and banker placement analytics, including segmentation, portfolio optimization, performance analysis, and opportunity sizing.

Learn more about our career areas and lines of business at wellsfargojobs.com


In this role, you will:

  • Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
  • Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
  • Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
  • Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains
  • Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
  • Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
  • Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
  • Build executiveready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
  • Clearly communicate complex analytical concepts to nontechnical audiences using data storytelling and visualizations.
  • Respond to adhoc leadership requests with concise, highimpact analyses and recommendations.
  • Collaborate with crossfunctional partners (Analytics, Banking, Risk, Operations, Technology).
  • Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
  • Act as a trusted analytics advisor to stakeholders across the organization.

Required Qualifications:

  • 7+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science


Desired Qualifications:

  • Experience in banking, financial services, customer analytics, or coverage/placement models
  • Expertise in advanced analytics and data tools (e.g., SQL, Python, R, SAS) with hands-on experience in deep-dive analysis and data mining
  • Proficiency in data visualization and BI platforms (e.g., Power BI, Tableau, Alteryx) to develop interactive dashboards and reporting frameworks
  • Experience developing KPI frameworks, building business cases, and quantifying the financial impact of strategic initiatives
  • Familiarity with governance, risk, or compliance considerations in analytics.
  • Strong experience engaging executive stakeholders, including delivering clear, data-driven insights and recommendations to senior leadership
  • Strong analytical skillset, including experience with data analysis, modeling, and interpretation.
  • Experience working with structured datasets from enterprise data sources.
  • Strong business acumen with the ability to align analytics initiatives to enterprise goals, risk considerations, and regulatory/compliance needs
  • Ability to operate independently, navigate ambiguity and manage multiple priorities in a fastpaced environment.


Job Expectations:

  • Position offers a hybrid work schedule
  • This position is not eligible for Visa sponsorship
  • Relocation assistance is not available for this position

Locations:

  • 401 S. Tryon St. Charlotte, NC
  • 600 S 4th St Minneapolis, MN
  • 2700 S. Price Rd. Chandler, AZ

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$159,000.00 - $279,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

27 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


What Wells Fargo employees say

Pay

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Workplace

Get the full story on Breakroom


Wells Fargo logo

About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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