1

Data Science Insurance Jobs in Michigan (NOW HIRING)

Data Engineer

Grand Rapids, MI ยท Hybrid

$110K - $132K/yr

Bachelor'sor foreign equiv. incomputer science, data science, or related,plus36mthsas aData Engineer, Software Developer, or related. Above experience must include 1 yr. in the health insurance ...

... Insurance - Demonstrating proficiency in data science algorithms and workflows - Utilizing machine learning and deep learning techniques effectively - Excelling in complex data analysis and ...

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

Manager, Data Engineering

Detroit, MI ยท On-site

$160K - $190K/yr

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... and services, banking, insurance and public administration sectors in the definition and ...

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... and services, banking, insurance and public administration sectors in the definition and ...

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 ... and services, banking, insurance and public administration sectors in the definition and ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Bachelor's degree in engineering, analytics, computer science, information systems, data science ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

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

Director- Data Analytics and AI

Southfield, MI ยท On-site

$181K - $226K/yr

Build and lead high-performing teams of data scientists, analytics engineers, and AI product ... Various Optional Insurance programs such as legal, identity theft, critical illness, etc. * Tuition ...

Predictive Modeler

Lansing, MI ยท On-site

$55.50 - $72/hr

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... An understanding of statistical modeling or data science concepts, especially clustering ...

Prefer bachelor's degree in computer science, data science, engineering, or a related field, or equivalent practical experience. * Insurance industry experience, including familiarity with data ...

Predictive Modeler

Lansing, MI ยท Hybrid

$55.50 - $72/hr

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a predictive modeler to join our ... An understanding of statistical modeling or data science concepts, especially clustering ...

next page

Showing results 1-20

Data Science Insurance information

See Michigan salary details

$20.2K

$95.2K

$179.6K

How much do data science insurance jobs pay per year?

As of Jul 9, 2026, the average yearly pay for data science insurance in Michigan is $95,199.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,665.00 and $135,238.00 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 Michigan? The most popular types of Data Science Insurance jobs in Michigan are:
Data Engineering Manager

Data Engineering Manager

Hastings Mutual Insurance Company

Hastings, MI โ€ข On-site, Remote

Full-time

Retirement, PTO

Re-posted 3 days ago


Job description

Lead the engineering, integration, and architecture behind our enterprise data ecosystem.

Hastings Insurance is seeking a Data Engineering Manager to join our Information Technology team. In this leadership role, you will oversee the design, development, and operational management of enterprise data solutions that support business operations, reporting, analytics, and strategic decision-making across the organization.

Leading a team of data engineering and warehousing professionals, you will guide the development of enterprise data pipelines, integration processes, data warehousing environments, and data architecture practices that ensure reliable, scalable, and secure access to critical business information. This role combines technical leadership, people leadership, and cross-functional collaboration to strengthen the data foundation that supports our business.

As advanced analytics and data science functions are led within our Actuarial & Risk Management group, this position is primarily focused on data engineering, data warehousing, enterprise integration, and data architecture.

Location & Schedule:
  • This is a full-time position working Monday through Friday, 8:00 a.m. to 4:30 p.m.
  • The role may be performed onsite at our Hastings, Michigan headquarters or in a hybrid arrangement. We may also consider remote candidates who reside in one of our operating states: Michigan, Ohio, Indiana, Illinois, or Wisconsin.
  • Candidates working remotely should expect periodic travel to Hastings throughout the year for meetings, collaboration, and business needs.
What Youโ€™ll Do:
  • Lead, coach, and develop a team responsible for enterprise data engineering, data warehousing, and data integration solutions.
  • Oversee the design, development, deployment, and maintenance of enterprise data pipelines and data warehousing environments.
  • Ensure reliable movement, transformation, and delivery of data from systems of record into centralized data platforms.
  • Guide data architecture, data modeling, and integration practices that support secure, scalable, and maintainable solutions.
  • Partner with IT engineering, architecture, business stakeholders, and data owners to align data solutions with organizational needs.
  • Promote data governance standards, data quality practices, and consistency across enterprise data assets.
  • Support the development and maintenance of enterprise reporting and business intelligence data structures.
  • Develop and manage maintenance schedules for data warehousing and business intelligence platforms.
  • Evaluate emerging technologies and recommend solutions that improve reliability, scalability, performance, and cost effectiveness.
  • Support vendor evaluations, contract discussions, and third-party data service relationships.
  • Collaborate with leaders across the organization to identify opportunities to improve data accessibility, consistency, and operational efficiency.
  • Stay informed on trends affecting both enterprise data environments and the Property & Casualty insurance industry.
Additional Role Highlights:
  • Technical leadership role with direct influence over enterprise data engineering and data architecture initiatives.
  • Opportunity to help shape the future direction of Hastings' enterprise data environment.
  • Strong partnership with IT engineering, architecture, business analytics, and operational leaders.
  • Visibility across all levels of the organization, including executive leadership.
  • Balance of strategic planning, technical leadership, and people leadership responsibilities.
What Youโ€™ll Bring:
  • Bachelor's degree in Information Technology, Business, Economics, or a related field, or equivalent experience.
  • 10+ years of progressive experience supporting enterprise data solutions, data engineering initiatives, data warehousing environments, or business data flows.
  • Experience leading, mentoring, or developing technical teams.
  • Demonstrated expertise in ETL design, development, and implementation.
  • Strong understanding of data warehousing concepts, data integration, and enterprise data architecture principles.
  • Experience working with relational databases and enterprise data environments.
  • Working knowledge of project phases and general project management concepts.
  • Experience across multiple computing environments, including mainframe, client-server, and internet-based platforms.
  • Excellent written, verbal, and interpersonal communication skills.
  • Proficiency with Microsoft Office tools.
  • Ability to exercise sound judgment, maintain confidentiality, and operate effectively in complex, time-sensitive environments.
Preferred Qualifications:
  • Experience within the Property & Casualty insurance industry.
  • Experience supporting enterprise data warehouse or business intelligence environments.
  • Familiarity with SQL Server, ETL tools, data modeling, and enterprise integration solutions.
  • Experience working with both legacy and modern data platforms.
About Us:

At Hastings Insurance, we are a trusted partner to our agents, policyholders, and the communities we serve. For more than 135 years, we have helped individuals, families, and businesses protect what matters most and rebuild after loss. We are proud to be rated A (Excellent) by A.M. Best Company, reflecting our financial strength and long-term stability.

While our history is strong, our focus is forward. We invest in technology, strengthen partnerships with independent agents, and continuously refine our products to meet the evolving needs of todayโ€™s customers. Our strategy centers on responsible growth, expanding our reach while remaining agile, disciplined, and service-driven.

Our people make that possible. Hastings employees thrive in a down-to-earth, collaborative environment that values initiative, accountability, and steady progress. We offer a competitive benefits package that includes a 401(k) with company matching contributions, generous vacation and sick leave, fully paid tuition and professional development reimbursement, and incentive compensation bonus opportunities. At Hastings, your work matters and your growth is supported.

Our Commitment as an Employer:

We believe diverse perspectives strengthen our organization and drive better outcomes. We are committed to building an inclusive workplace where every employee feels respected, supported, and empowered to contribute.

We are proud to be an equal opportunity employer. Employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, appearance, disability, veteran status, family status, marital status, or any other legally protected characteristic.

We are also committed to providing an accessible and welcoming experience for all candidates. If you require accommodation during the application or interview process, please contact our Talent Acquisition team at 800-442-8277.