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Data Science Insurance Jobs in Tennessee (NOW HIRING)

AI Business Analyst

Franklin, TN · On-site

$35 - $53/hr

Bachelor's or Master's degree in Business, Data Science, Computer Science, or related field Benefits: * Dental insurance * Health insurance * Health savings account * Life insurance * Disability ...

Senior Data Engineer

Memphis, TN · On-site

$103K - $140K/yr

... insurance data. Responsibilities : • Design and build data ingestion pipelines from multiple ... A. in Computer Science, Information Systems, Mathematics, or a related field. • 7+ years of ...

Background in data science helpful but not required * Certification in SQL/Python and/or R a plus ... Insurance plus much more Savings and Retirement * 401(k) retirement plan with company-matching ...

Sr Data Analyst, Marketing

Memphis, TN · Remote

$94K - $122K/yr

Background in data science helpful but not required * Certification in SQL/Python and/or R a plus ... Insurance plus much more Savings and Retirement * 401(k) retirement plan with company-matching ...

Senior Data Engineer-JT0224

Franklin, TN · Remote

$102K - $138K/yr

Our medical, dental, vision, and life insurance benefits are available from the first day of ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

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Showing results 1-20

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:
Senior/Lead Decision Scientist, Data & Analytics (Nashville, TN)

Senior/Lead Decision Scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,596 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Now Brewing - Sr/lead Decision scientist, the data democratization team!
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Starbucks Sr/lead Decision scientist on the data democratization team, you will . . .
Be part of the team that powers data-driven decision-making across our data democratization team at coffeehouse operations, Partners and Supply Chain domain. You will help shape how insights are translated into action-enabling teams to optimize store performance, improve partner and customer experience, and scale solutions across the enterprise.
Who you are...
  • A natural facilitator who loves working with people and building connections
  • Comfortable managing complexity and change
  • Passionate about data integrity and compliance
  • Growth-minded, solution-oriented, and eager to learn continuously

Key Responsibilties:
  • Partner with cross-functional stakeholders to define problem statements, success metrics, and decision frameworks
  • Translate ambiguous business problems into structured analytical frameworks and actionable insights
  • Guide stakeholders through trade-offs, risks, and implications of data-driven recommendations
  • Communicate insights clearly to both technical and non-technical audiences, influencing decisions at multiple levels

What you'll do:
  • Analyze data to deliver actionable insights with strong hands-on experience with modern analytics and BI tools, including Alteryx, Power BI, Tableau, and MicroStrategy
  • Ability to design, build, and scale interactive dashboards and reporting solutions that drive decision-making
  • data preparation, transformation, and workflow automation (e.g., Python, R, SQL) to enable efficient analytics
  • Establish reporting cadence, monitor KPIs, and share updates with stakeholders.
  • Stay ahead of emerging AI/BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics).
  • Collaborate with architects and engineers to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs).

We'd love to hear from people with:
  • Strong communication and facilitation skills with cross-functional teams, including those with and without technical backgrounds
  • Loves working with people and building connections
  • Comfortable managing complexity and change
  • Excellent documentation and organizational skills
  • Experience bridging technical and business teams
  • Demonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge
  • Growth-minded, solution-oriented, and curious!
  • Enjoy working with people and data!

What We're Looking For:
  • 5+ years in analytics, decision science, roles.
  • Education: BA/BS in business or quantitative discipline (Stats, Math, Comp Sci, Engineering); Masters preferred.
  • Strong communication and storytelling skills with an executive presence.
  • Proven ability to drive projects from concept to impact in ambiguous environments.
  • Technical proficiency in Python, SQL, and modern BI tools; familiarity with AI/ML concepts.

Preferred:
  • Experience integrating AI-driven insights into dashboards, semantic models, or data marts.
  • Expertise advanced AI techniques and build AI-orchestrated pipelines for complex data analysis.

As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.

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