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Data Science Insurance Jobs in Indiana (NOW HIRING)

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Data Scientist - JETARS

Fort Wayne, IN · On-site

$125 - $150/hr

... insurance. Position Summary The Garrett Group is seeking an experienced Data Science and Analytics Professional to support advanced analytical initiatives focused on large language model (LLM ...

Minimum of 7+ years of combined experience in data science, data visualization, artificial ... TBD Benefits Offered * medical * dental * vision * life insurance * short-term disability ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

One to three years of experience in Data Science related role is desired. * Exposure to and understanding of the insurance industry is desired. Terms and Conditions This description is intended to ...

Associate Data Scientist

Fort Wayne, IN · On-site

$58K - $58K/yr

One to three years of experience in Data Science related role is desired. * Exposure to and understanding of the insurance industry is desired. Terms and Conditions This description is intended to ...

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 ...

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Showing results 1-20

Data Science Insurance information

See Indiana salary details

$21.6K

$101.6K

$191.7K

How much do data science insurance jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science insurance in Indiana is $101,624.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,746.00 and $144,364.00 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 Indiana?

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

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

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

Infographic showing various Data Science Insurance job openings in Indiana as of September 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $101,624 per year, or $48.9 per hour.

Data Science Intern

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

187th of 315 rated insurance


Job description

The Allied Solutions internship program is a robust and consistent internship program for rising Juniors and Seniors. The program will focus on learning and development as well as hands-on experience. The program will immerse the intern into a broad range of responsibilities, allowing you to execute projects within your area of professional interests.
Interested applicants must be available during the 12-week program (May 17th - Aug. 6th, 2027). This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN.
The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested in pursuing a career in Data Science and provides exposure to the full data lifecycle through structured rotations across Data Science, Data Engineering, Data Governance, and Data Analytics. The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into actionable insights.
Job Duties and Responsibilities
  • Assist with exploratory data analysis to identify patterns, trends, and actionable business insights.

  • Support the development, testing, and evaluation of predictive models, machine learning solutions, and AI use cases.

  • Prepare, cleanse, and transform data for analytical and Data Science applications.

  • Create visualizations and presentations that communicate findings and recommendations to business stakeholders.

  • Conduct research on emerging AI, machine learning, and advanced analytics techniques.

  • Participate in a Data Engineering rotation focused on data pipelines, data integration, and modern data platform concepts (20%).

  • Participate in a Data Governance rotation focused on data quality, stewardship, metadata management, and trusted data practices (15%).

  • Participate in a Data Analytics rotation focused on reporting, dashboards, performance metrics, and business decision support (15%).

  • Collaborate with Data Intelligence team members across multiple disciplines to understand the end-to-end data lifecycle.

  • Present project outcomes and internship learnings to leadership and stakeholders.

  • Perform other projects and analyses as assigned.

Qualifications (Education, Experience, Certifications & KSA)
  • Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field.

  • Foundational experience with Python, SQL, and data analysis concepts.

  • Understanding statistics, analytical methods, or machine learning concepts.

  • Proficiency in Microsoft Office, particularly Excel.

  • Strong problem-solving skills and attention to detail.

  • Curiosity about AI, machine learning, advanced analytics, and emerging technologies.

  • Interest in how organizations leverage data as a strategic asset.

  • Strong written and verbal communication skills.

  • Ability to manage multiple priorities and meet deadlines.

  • Eagerness to learn and adapt in a fast-paced environment.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
#LI-SJ1
#Li-Onsite
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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