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Intern Data Science Insurance Jobs in Michigan (NOW HIRING)

Data architect

Lansing, MI

$64.75 - $83.25/hr

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Job Title: Data Architect Duration: 12+ Months Location: Lansing, MI Complete Description ...

Bachelor's degree in Mathematics, Business, Economics, Statistics, Computer Science, Data Science ... insurance, 401(k) with company matching contributions, paid vacation, paid holidays, short-term ...

Kettering Co-op

Lansing, MI

$19.50 - $25.50/hr

... Data Science, please clearly list if you'd be looking to co-op or only intern for a summer ... Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on ...

Kettering Co-op

Lansing, MI · On-site

$19.50 - $25.50/hr

... Data Science, please clearly list if you'd be looking to co-op or only intern for a summer ... Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Mentor and provide guidance to junior data scientists and analysts, fostering a culture of ... Life insurance and accidental death & dismemberment insurance Compensation Range Compensation may ...

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Intern Data Science Insurance information

What does an Intern Data Science Insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What are the key skills and qualifications needed to thrive as an Intern Data Science in Insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What types of projects can an Intern in Data Science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.
What are popular job titles related to Intern Data Science Insurance jobs in Michigan? For Intern Data Science Insurance jobs in Michigan, the most frequently searched job titles are:
What cities in Michigan are hiring for Intern Data Science Insurance jobs? Cities in Michigan with the most Intern Data Science Insurance job openings:
Experienced Data Scientist

Experienced Data Scientist

Auto-Owners Insurance

Lansing, MI • On-site

Full-time

Retirement, PTO

Posted 13 days ago


Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

17th of 261 rated insurance


Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.
Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan twice a week.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking an experienced data scientist to join our analytics teams. The position requires the person to:
  • Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements
  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience
  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Demonstrated experience owning end-to-end model lifecycle, including validation, monitoring, and performance optimization
  • Experience mentoring junior data scientists or leading analytical workflows preferred
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 5+ years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler". Candidates with less than 5 years of experience, please use the job posting for "Data Scientist".
  • (Preferred) Experience developing and deploying analytics solutions in cloud environments such as AWS
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits
The salary offered will be commensurate with skills and experience.
We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.
Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!
Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
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