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Data Science Insurance Jobs in Tennessee (NOW HIRING)

Stackruit Ltd.

Machine Learning Engineer

Nashville, TN · On-site

We use data science to create personalized treatment plans for each patient. Our Ideal Candidate ... Competitive benefits package with PTO, health insurance, 401k match, and more. * Supportive and ...

AutoZone

Technical Program Manager

Memphis, TN · On-site

$125K - $162K/yr

You will partner closely with Engineering, Product, Data Science, and Infrastructure teams to ... Life, and short- and long-term disability insurance options * Health Savings and Flexible Spending ...

Revecore

Senior Product Manager, Agentic AI

Franklin, TN · Remote

$122K - $161K/yr

Comprehensive medical, dental, vision, and life insurance benefits from the start of your ... Collaborate with Data Engineering and Data Science leads on shared initiatives, including data ...

Downtown Music

Data Engineer

Nashville, TN · On-site +1

$135K/yr

... Science, Mathematics, Statistics * Expertise in RDBMS (PostgreSQL experience preferred) and at ... Rich benefit program, Life Insurance, 401k (with match) * Paid Volunteer Hours Ensuring a diverse ...

Stifel

Data Analyst

Memphis, TN

Bachelor's degree in Information Technology, Computer Science or Business Administration or ... insurance, and paid time off. Stifel is an Equal Opportunity Employer.

Stifel

Data Analyst

Memphis, TN · On-site

Bachelor's degree in Information Technology, Computer Science or Business Administration or ... life insurance, and paid time off. Stifel is an Equal Opportunity Employer. Employment Type ...

Stifel

Data Analyst

Memphis, TN · On-site

Bachelor's degree in Information Technology, Computer Science or Business Administration or ... insurance, and paid time off. Stifel is an Equal Opportunity Employer.

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Data Science Insurance information

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 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.

How is data science used in the insurance industry?

Data science in insurance involves analyzing large datasets to assess risk, set premiums, detect fraud, and improve customer segmentation. Insurance data scientists use statistical models, machine learning algorithms, and tools like Python or R to optimize decision-making and enhance underwriting processes.

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 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
Infographic showing various Data Science Insurance job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution.

Healthcare ML Engineer - Remote-First

Stackruit Ltd.

Nashville, TN • On-site

Other

Medical, Retirement, PTO

Posted 6 days ago

Job description

Be an ML Engineer & Make a Difference in Healthcare (US Remote-First with Nashville Option) Join TailorCare and use machine learning to improve chronic pain treatment!

TailorCare is on a mission to transform specialty care for joint, back, and muscle conditions. We use data science to create personalized treatment plans for each patient.

Our Ideal Candidate:
  • Bachelor’s in CS, engineering, or similar (3+ years of experience preferred).
  • Experience as an ML engineer, data scientist, or data engineer (3+ years a plus).
  • Python or Scala pro with machine learning skills (scikit-learn, PyTorch, etc.) (2+ years).
  • Familiarity with DNNs, LLMs, and data pipelines is a plus.
  • A scientific approach, engineering mindset, and focus on building simple solutions.
Bonus Points for:
  • Experience with healthcare data and Databricks.
  • CI/CD process knowledge (GitHub).
What You’ll Do:
  • Design, build, and deploy machine learning models to improve patient care.
  • Collaborate with cross-functional teams to understand needs and develop solutions.
  • Automate workflows using Databricks and GitHub to ensure model performance.
  • Stay up-to-date on the latest MLOps best practices.
Why TailorCare?
  • Make a real impact on people’s lives.
  • Work from anywhere in the US (remote-first with a Nashville office option).
  • Competitive benefits package with PTO, health insurance, 401k match, and more.
  • Supportive and inclusive work environment that prioritizes work-life balance.
Ready to use your ML skills to change lives? Apply today!

We are an equal opportunity employer and value diversity at our company.

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