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Data Science Insurance Jobs in Michigan (NOW HIRING)

Munich RE

Principal Data Scientist - FCAS

Gaylord, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry. Education, Certifications ...

New

Munich RE

Principal Data Scientist - FCAS

Ann Arbor, MI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry. Education, Certifications ...

New

Munich Re

Principal Data Scientist - FCAS

Gaylord, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry. Education, Certifications ...

Munich Re

Principal Data Scientist - FCAS

Ann Arbor, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry. Education, Certifications ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with data engineers, architects, analysts, and data scientists to design and deliver ... Life Insurance (100% paid) * 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar ...

Pwc

Data Scientist Sr. Manager - Consumer Markets

Grand Rapids, MI · On-site

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Insurance, Science - Leveraging advanced skills in data visualization tools like QlikView and Spotfire - Demonstrating proficiency in business intelligence development and reporting tools - Applying ...

Pwc

Data Scientist Sr. Manager - Consumer Markets

Detroit, MI · On-site

$91K - $321K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Insurance, Science - Leveraging advanced skills in data visualization tools like QlikView and Spotfire - Demonstrating proficiency in business intelligence development and reporting tools - Applying ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Overview: Business and Data Analysts work closely with data engineers, data scientists, and ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Stellantis

Business & Data Analyst

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Overview: Business and Data Analysts work closely with data engineers, data scientists, and ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

HTC Global Services Inc

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with Data Scientists and ML Engineers to support production AI solutions. Stakeholder ... Insurance, Healthcare, Financial Services, Retail, or Manufacturing domains. AI/ML platform ...

New

HTC Global Services Inc

Data & AI Architect

Grand Rapids, MI · On-site

$61.25 - $78.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate with Data Scientists and ML Engineers to support production AI solutions. Stakeholder ... Insurance, Healthcare, Financial Services, Retail, or Manufacturing domains. AI/ML platform ...

New

Stellantis

Data Scientist AI Execution

Auburn Hills, MI

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance ... An employer contribution, even if you don't contribute Income Protection & Insurance Options ...

Auto-Owners Insurance

Data Specialist

Lansing, MI · On-site

  • Retirement

  • PTO

Auto-Owners Insurance, a top-rated insurance carrier, is seeking a motivated Data Specialist to ... Bachelor's degree in mathematics, statistics, actuarial science, data science, or related field is ...

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Showing results 21-40

All JobsData Science Insurance JobsData Science Insurance Jobs in Michigan

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 Aug 20, 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?

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 the key skills and qualifications needed to thrive in data science insurance?

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 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 most commonly searched types of Data Science Insurance jobs in Michigan?

The most popular types of Data Science Insurance jobs in Michigan are:

What are popular job titles related to Data Science Insurance jobs in Michigan?

For Data Science Insurance jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Science Insurance jobs in Michigan look for?

The top searched job categories for Data Science Insurance jobs in Michigan are:

Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 21% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $95,199 per year, or $45.8 per hour.

Engineering Manager, Data Platform and Governance

Canopy

Detroit, MI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

Hilton Grand Vacations rating

6.8

Company rating: 6.8 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

8th of 21 rated holiday rentals

Job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.
As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.
Responsibilities:
  • Define and execute the company's data platform, analytics, and governance strategy.
  • Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
  • Establish technical roadmaps, architecture standards, and best practices for data systems and services.
  • Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
  • Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
  • Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
  • Establish data quality, observability, lineage, cataloging, and reliability practices.
  • Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
  • Develop and maintain enterprise data governance policies, standards, and operating procedures.
  • Define data ownership, stewardship, retention, classification, and lifecycle management processes.
  • Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
  • Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
  • Establish auditability, data access controls, and governance processes for AI and analytics workloads.
  • Support security reviews, risk assessments, compliance audits, and customer data inquiries.

Requirements
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • 8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
  • 3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
  • Experience designing and operating modern cloud-based data platforms and data pipelines.
  • Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
  • Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
  • Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
  • Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
  • Strong stakeholder management, communication, and collaboration skills.
  • Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:
  • Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
  • Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $123,800 - $173,100
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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