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Data Science Insurance Jobs in Tennessee (NOW HIRING)

Munich Re

Data Scientist, AI

Chattanooga, TN · On-site +1

... 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 ...

Munich Re

Data Scientist, AI

Memphis, TN · On-site +1

... 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 ...

AutoZone

Lead Data Scientist

Memphis, TN · On-site

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... Life, and short- and long-term disability insurance options * Health Savings and Flexible Spending ...

AutoZone

Lead Data Scientist

Memphis, TN · On-site

At AutoZone, our Data Science team drives data-driven decision-making with a team of passionate and ... Life, and short- and long-term disability insurance options * Health Savings and Flexible Spending ...

PNC Bank

$80K - $209K/yr

Provides deep technical expertise to advance the data science capabilities of analytics teams ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

PNC Bank

$65K - $186K/yr

... Data Science, Machine Learning (ML), Science Competencies Data Architecture, Data Mining ... This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act ...

AutoZone

Data Scientist

Memphis, TN

Join us as a Data Scientist and support us in transforming raw data into actionable intelligence ... Life, and short- and long-term disability insurance options * Health Savings and Flexible Spending ...

AutoZone

Data Scientist

Memphis, TN · On-site

Join us as a Data Scientist and support us in transforming raw data into actionable intelligence ... Life, and short- and long-term disability insurance options * Health Savings and Flexible Spending ...

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Data Science Insurance information

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 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 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 the most commonly searched types of Data Science Insurance jobs in Tennessee? The most popular types of Data Science Insurance jobs in Tennessee are:
What are popular job titles related to Data Science Insurance jobs in Tennessee? For Data Science Insurance jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Tennessee look for? The top searched job categories for Data Science Insurance jobs in Tennessee are:
Data Science Insurance jobs near you
Data Science Analyst - Remote

Data Science Analyst - Remote

Premise Health

Brentwood, TN • On-site, Remote

$75K - $87K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Premise Health rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

88th of 875 rated healthcare providers

Job description

Premise Health is Different on Purpose
Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs.
Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com.
The Data Scientist leverages machine learning, statistical modeling, and modern AI techniques to solve healthcare business problems. You will develop predictive models, build AI-powered solutions, and deliver insights to both technical and non-technical stakeholders.
This is a Full Time, remote, Data Science Analyst role.
What You'll Do
  • Analysis, Model Development & AI Solutions:
  • Perform exploratory data analysis to identify patterns and opportunities in healthcare data
  • Develop predictive models and machine learning solutions under guidance of senior team members
  • Document model methodology, assumptions, and results to ensure reproducibility
  • Design text analytics and classification pipelines using LLMs and NLP techniques
  • Build generative AI solutions including prompt engineering pipelines and LLM-based classification
  • Develop and evaluate AI agent workflows for business process automation
  • Work with LLM APIs and model serving endpoints to integrate AI into analytical solutions
  • Collaboration & Communication:
  • Partner with senior data scientists and stakeholders to align on project goals
  • Communicate findings and methodologies clearly to technical and non-technical audiences
  • Demonstrate a willingness to learn by incorporating feedback effectively
  • Technical Execution:
  • Work with common healthcare data including claims, EHR, and laboratory datasets
  • Write clean, well-structured, and documented code in Python, PySpark, SQL
  • Use Git for version control and follow structured development practices

What You'll Bring
  • Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related STEM field; or completion of an accredited data science or applied AI program
  • 3+ years of experience in data science, AI/ML or advanced analytics
  • Coursework or projects in applied machine learning and neural networks
  • Coursework or projects involving generative or agentic AI, LLMs, or NLP
  • Experience with Python, SQL, and common ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, Hugging Face, etc.)
  • Healthcare data experience preferred
  • Familiarity with deploying ML/predictive models to production environments
  • Understanding of statistical methods, AI/ML algorithms, neural networks, and deep learning concepts
  • Familiarity with generative AI concepts: prompt engineering, LLM APIs, and retrieval-augmented generation (RAG)
  • Exposure to agentic AI concepts and frameworks (e.g., LangChain, LangGraph, etc.)
  • Familiarity with Python, SQL, and Git (version control)
  • Experience with the following is a plus:
  • Cloud: Azure, Databricks
  • Version Control: GitLab
  • IDE: VS Code

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits .
Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $75,000.00 - $87,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will earn 0.0692 hours of paid time off per actual hours worked or based on standard schedule, per pay period, and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 04/02/2026.
Should you have questions regarding this job posting, please contact askhr@premisehealth.com .

What Premise Health employees say

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About Premise Health

Sourced by ZipRecruiter

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care - in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Brentwood, TN, US

Year founded

1975

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