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Data Science Insurance Jobs in Indiana (NOW HIRING)

Entry Level Data Engineer

Indianapolis, IN · On-site

$100.40K - $120.60K/yr

... Computer Science, Information Technology, Engineering, or a related discipline) or 12 months of ... care, banking, insurance, hospitality, aviation, or tech Company : Information Technology and ...

Qualifications Required Bachelor's degree in Computer Science, Data Science, Information Systems ... life insurance, short-term disability, and long-term disability - Tuition assistance program ...

Qualifications Required Bachelor's degree in Computer Science, Data Science, Information Systems ... life insurance, short-term disability, and long-term disability - Tuition assistance program ...

Qualifications Required Bachelors degree in Computer Science, Data Science, Information Systems, or ... life insurance, short-term disability, and long-term disability - Tuition assistance program ...

Data Architect

Indianapolis, IN

$61 - $78.50/hr

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to ... Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent ...

Group 1001 is a consumer-centric, technology-driven family of insurance companies on a mission to ... Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent ...

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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 May 30, 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 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 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 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 May 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,624 per year, or $48.9 per hour.
Data Engineer - Data Products & Delivery (On-site Work Schedule)

Data Engineer - Data Products & Delivery (On-site Work Schedule)

Parts Town

Fort Wayne, IN • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Parts Town rating

8.2

Company rating: 8.2 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

62nd of 333 rated retail wholesalers


Job description

See What We’re All About

As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That’s key. But we’re also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list!

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We’re more interested in passionate people with fresh ideas from different backgrounds. That’s what keeps us at the top of our game. We’re proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain’s Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years.

If you’re ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let’s chat – Apply Today!

 

Perks

  • Parts Town Pride – check out our virtual tour and culture!
  • Hybrid work schedule
  • Team member appreciation events and recognition programs
  • Volunteer opportunities
  • Monthly IT stipend
  • Casual dress code
  • On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses
  • All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away – don’t worry, we’ve got you covered.

 

 

The Job at a Glance

 

The Data Engineer- Data Products & Delivery will specialize in turning raw data into business-ready products within GCP. They will design and optimize data models, marts, and semantic layers in BigQuery, enabling analytics, BI, and ML use cases across the enterprise. You will also support downstream systems and APIs that deliver trusted data for operational and AI-driven processes. You will play a foundational role in shaping this future — building the pipelines, products, and platforms that power the next generation of digital distribution. 

 

A Typical Day

 

  • Build silver/gold layers in BigQuery, transforming raw data into clean, business-ready models. 
  • Design semantic layers using Looker or dbt for consistent business metrics
  • Develop data marts and star schemas optimized for analytics and self-service BI
  • Build APIs and services for data delivery (Cloud Functions, Cloud Run)
  • Partner with analysts, data scientists, and ML engineers to ensure data & AI readiness and support advanced modeling
  • Collaborate with the Data Governance team to embed stewardship, lineage, and metadata into Dataplex and other MDM tooling
  • Support real-time analytics using BigQuery streaming and Pub/Sub as needed. 
  • Optimize query performance and cost efficiency in BigQuery
  • Drive adoption of AI/automation by ensuring data models are accessible for predictive and agentic use cases

 

To Land This Opportunity

 

  • You have 4+ years of experience in data engineering or BI-focused data modeling
  • You have hands-on expertise in BigQuery (partitioning, clustering, performance tuning, cost management)
  • You have strong knowledge of dbt, Looker, and SQL for transformation and semantic modeling
  • You obtain experience with Cloud Functions, Cloud Run, and APIs for data delivery
  • You’re familiar with Pub/Sub and BigQuery streaming for real-time use cases
  • You have exposure to ML feature engineering in Vertex AI or similar platforms a plus
  • You have a strong understanding of data governance frameworks, Dataplex, and metadata management
  • You’re an all-star communicator and are proficient in English (both written and verbal)
  • You have a quality, high speed internet connection at home

 

 

About Your Future Team

Our IT team’s favorite pastimes include corny jokes, bowling, pool, and good pizza. They like vehicles that go really fast, Harry Potter, and coffee…a lot (they’ll hear you out on whether Dunkin or Starbucks gets your vote).

 

At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported.   We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $97,628.20– 131,752.87 which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities.

Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.


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