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Insurance Statistician Jobs in Indiana (NOW HIRING)

Beacon Health System

Claims Reimbursement Rep (BHS)

Granger, IN · On-site

$16.25 - $21.50/hr

Actively follows up with insurance carriers for the purpose of collecting outstanding favorable ... Monitoring statistics related to appeal follow up and collection activities (for example, relative ...

Elevance Health

Bus Info Analyst Sr

Indianapolis, IN · On-site

$31.45 - $66.26/hr

Analyze data and summarize performance using statistical procedures. * Develop and analyze business ... life insurance, short‑term disability, long‑term disability, and 401(k). Equal Opportunity ...

USfalcon

Data Scientist, Craftsman

Fort Wayne, IN · On-site

... statistics, applied mathematics, applied physics, data analytics, or an equivalent field. REQUIRED CLEARANCE: Top Secret/SCI TRAVEL: TBD Benefits Offered * medical * dental * vision * life insurance ...

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All JobsInsurance Statistician JobsInsurance Statistician Jobs in Indiana

Insurance Statistician information

See Indiana salary details

$48.1K

$82.7K

$110.9K

How much do insurance statistician jobs pay per year?

As of Sep 13, 2026, the average yearly pay for insurance statistician in Indiana is $82,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,700.00 and $93,700.00 per year, depending on experience, location, and employer.

What is an insurance statistician?

An Insurance Statistician analyzes data related to insurance claims, policies, and risk factors to help insurers make informed decisions. They use statistical models and actuarial techniques to assess trends, calculate probabilities, and estimate future risks. Their insights support underwriting, pricing strategies, and risk management. They often work with large datasets, programming languages, and statistical software. This role helps insurance companies remain profitable while offering fair policy rates.

What are the key skills and qualifications needed to thrive as an insurance statistician?

To thrive as an Insurance Statistician, you need a strong background in statistics, mathematics, and actuarial science, typically supported by a relevant bachelor’s or master’s degree. Proficiency with statistical analysis software such as SAS, R, or Python, as well as familiarity with insurance-focused modeling systems, is vital, and professional certifications like ASA or CSPA can be advantageous. Strong analytical thinking, attention to detail, and clear communication skills help distinguish top performers in this field. These qualifications enable Insurance Statisticians to effectively interpret complex data, support business decisions, and comply with industry regulations.

What are the most common challenges faced by insurance statisticians in their day-to-day work?

Insurance Statisticians often face challenges such as working with large and sometimes incomplete datasets, ensuring the accuracy of complex risk models, and keeping up with regulatory changes that affect data reporting. They must work closely with underwriters, actuaries, and other departments to interpret data findings and translate them into actionable business strategies. Continuous learning and adaptability are essential, as industry practices and statistical techniques evolve rapidly. Despite these challenges, the role offers the satisfaction of directly impacting an organization's financial stability and customer offerings.

Are insurance statisticians still in demand?

Insurance statisticians are still in demand due to the ongoing need for risk assessment, data analysis, and actuarial modeling in the insurance industry. Strong skills in statistical software, data management, and certifications such as ASA or FSA can enhance job prospects in this field.

What are the most commonly searched types of Insurance Statistician jobs in Indiana?

The most popular types of Insurance Statistician jobs in Indiana are:

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

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

What job categories do people searching Insurance Statistician jobs in Indiana look for?

The top searched job categories for Insurance Statistician jobs in Indiana are:

Insurance Statistician jobs near you
Infographic showing various Insurance Statistician job openings in Indiana as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,711 per year, or $39.8 per hour.

Associate Director - AI/ML Data Scientist

Indianapolis, IN • On-site

Scorpion Therapeutics
51 - 200 employees
Learn more about Scorpion Therapeuticsexternal

$56K - $56K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Position Overview:

Senior Data Scientist to develop advanced analytics, machine learning, and AI that convert governed workforce data into actionable intelligence for Lilly's People Intelligence platform.

What You'll Be Doing:
  • - Design, validate, and operationalize statistical/ML/AI models for workforce use cases.
  • - Build predictive capabilities for attrition, talent risk, employee experience, hiring, mobility, skills, org health, and workforce planning.
  • - Use regression/classification/clustering/forecasting, causal inference, NLP, anomaly detection, and scenario modeling.
  • - Develop AI-enabled analytics (risk signals, probabilistic guidance, recommended follow-ups); create reusable AI skills/workflows/prompts.
  • - Build semantic models and make models AI-ready for Fabric; integrate into Fabric Data Agents, Power BI, MCP, and approved enterprise experiences.
  • - Establish governance/measurement: validation, monitoring, explainability, retraining/retirement; define performance thresholds; manage bias/fairness/privacy/unintended consequences; ensure reproducible methods.
  • - Advise HR leaders and product owners; translate findings into decision-oriented language; convert analyses into reusable models/metrics/products; coach others.
Key Deliverables:

Predictive/causal workforce models; governed semantic data models; generative AI text analytics (sentiment/theme extraction); model accuracy/testing frameworks; monitoring/governance standards; reusable ML pipelines/feature stores; scenario planning/workforce simulations; explainable AI outputs.

Basic Qualifications:
  • - BS in data science/statistics/ML or related.
  • - 4+ years Python proficiency; develop/validate/operationalize predictive models.
  • - 5+ years statistical inference, experimental design, model evaluation, data-quality assessment.
Strongly Preferred:
  • - Advanced degree (quantitative/behavioral) and/or AI certification.
  • - Large complex longitudinal datasets; executive communication.
  • - Workforce/people analytics; independent judgment with sensitive employee data.
  • - Microsoft Fabric/Spark/Power BI/Azure AI/Fabric Data Agents.
  • - NLP, generative AI/RAG, causal inference, organizational network analysis, workforce forecasting; responsible AI/privacy/governance familiarity.
Additional Information (Benefits):
  • - Eligible for company bonus (full-time equivalent).
  • - Comprehensive benefits: 401(k), pension, vacation, medical/dental/vision/prescription, flexible benefits (e.g., FSA), life insurance, time off/leave of absence, well-being benefits (e.g., EAP, fitness, employee clubs/activities).
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