ZipRecruiter

Log In

1

Data Science Insurance Jobs in Dallas, TX (NOW HIRING)

Lennox International

Sr. Data Scientist

Richardson, TX · On-site

$113K - $148K/yr

What We Are Looking For * Bachelor's degree in computer science, Data Science, Analytics ... vision insurance; prescription drug coverage; 401(k) retirement plan; short-term disability ...

New

PepsiCo

Senior Data Scientist

Plano, TX · On-site

$93K - $156K/yr

... EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications * Education: Bachelor in Data Science, Statistics, Operations Research, Computer Science ...

PepsiCo

Senior Data Scientist

Plano, TX

$93K - $156K/yr

... EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications * Education: Bachelor in Data Science, Statistics, Operations Research, Computer Science ...

United Airlines

Data Scientist

Irving, TX · On-site

$90K - $125K/yr

... Science, or a related field. 3-5 years of experience in AI, Machine Learning, Data Science, or ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

New

Capgemini

Data Scientist

Dallas, TX · On-site

$90K - $125K/yr

... Science, or a related field. 3-5 years of experience in AI, Machine Learning, Data Science, or ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

New

KPMG

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Master's degree from an accredited college or university in Computer Science, Data Science ... life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at ... Manage the execution of data science strategies and initiatives, including the design, development ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at ... Manage the execution of data science strategies and initiatives, including the design, development ...

Humana

Lead Data Scientist

Dallas, TX · On-site +1

... Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at ... Manage the execution of data science strategies and initiatives, including the design, development ...

Orion180

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

... Science, Mathematics, or a related field * U.S. Citizen or Green Card Holder is required Experience: * Proven experience in data analysis, modeling, and visualization within the insurance or ...

previous page

Showing results 41-60

All JobsData Science Insurance JobsData Science Insurance Jobs in Dallas, TX

Data Science Insurance information

See Dallas, TX salary details

$22.7K

$107K

$201.8K

How much do data science insurance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data science insurance in Dallas, TX is $106,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,312.00 and $151,964.00 per year, depending on experience, location, and employer.

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 popular job titles related to Data Science Insurance jobs in Dallas, TX? For Data Science Insurance jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Dallas, TX look for? The top searched job categories for Data Science Insurance jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Data Science Insurance jobs? Cities near Dallas, TX with the most Data Science Insurance job openings:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Dallas, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $106,974 per year, or $51.4 per hour.

Sr. Data Scientist

Lennox International

Richardson, TX • On-site

$113K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Lennox International rating

7.1

Company rating: 7.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

340th of 487 rated machine equipment manufacturers

Job description

Who We Are
Lennox (NYSE: LII) Driven by 130 years of legacy, HVAC and refrigeration success, Lennox provides our residential and commercial customers with industry-leading climate-control solutions. At Lennox, we win as a team, aiming for excellence and delivering innovative, sustainable products and services. Our culture guides us and creates a workplace where all employees feel heard and welcomed. Lennox is a global community that values each team member's contributions and offers a supportive environment for career development. Come, stay, and grow with us.
What Drives Success
We are seeking a motivated and analytical Data Scientist to develop machine learning models and advanced analytics solutions that drive business value across the organization. In this role, you'll partner with cross-functional teams to solve complex business problems, uncover actionable insights, and transform data into scalable, data-driven solutions.
The ideal candidate has a strong foundation in statistics, machine learning, and programming, along with a passion for solving real-world challenges through data. If you enjoy working with large, complex datasets and collaborating to deliver innovative solutions, we'd love to hear from you.
Machine Learning & Analytics
  • Develop and deploy machine learning models and predictive analytics solutions.
  • Build custom data models and algorithms to solve complex business problems.
  • Apply statistical techniques and advanced analytics to generate actionable insights.
  • Use data exploration techniques to identify trends and uncover new opportunities.

Business Partnership & Strategy
  • Partner with stakeholders to understand business objectives and translate them into data-driven solutions.
  • Identify opportunities for high-impact analytics initiatives that improve business performance.
  • Develop expertise across Sales, Marketing, Engineering, Supply Chain, and Finance datasets.

Data Management & Collaboration
  • Merge, manage, and analyze large, complex datasets.
  • Collaborate with cross-functional teams to implement models and monitor data quality and model performance.
  • Develop and improve analytics processes, workflows, and best practices.
  • Present findings through clear data visualizations and communicate insights to technical and non-technical audiences.

Teamwork & Leadership
  • Foster a collaborative team environment through knowledge sharing and mentoring.
  • Support continuous improvement initiatives and promote best practices.
  • Build strong working relationships across the organization.

What We Are Looking For
  • Bachelor's degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field with 5+ years of experience in data science, analytics, machine learning, or a related discipline; or a Master's degree in a related field with 3+ years of relevant experience.
  • Strong problem-solving skills with the ability to apply quantitative and qualitative analytical methods.
  • Proficiency in Python, R, SQL, PySpark, or similar programming languages used for data analysis.
  • Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers.
  • Understanding of big data architectures, distributed computing concepts, and large-scale data processing.
  • Experience working with relational databases and large, complex datasets.
  • Strong communication skills with the ability to present analytical findings to technical and non-technical stakeholders.
  • Experience with Spark MLlib and strong software development skills.
  • Basic understanding of unstructured data analysis.
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik.

Preferred Qualifications
  • Exposure to deep learning techniques.
  • Experience with distributed deep learning frameworks such as TensorFlow, Horovod, or similar technologies.

What We Offer
Compensation: This is a salaried exempt role. The starting salary range for this role and market is between $113,000 - $148,050 annually. Factors that may affect starting salary include geography/market and the skills, education, experience, and other qualifications of the successful candidate. Employees in this role are also eligible for an annual bonus in accordance with the terms of the Company's applicable plan. Employees in this role are not eligible for overtime.
Benefits: Subject to applicable eligibility requirements, the following benefits are offered for this role: tuition reimbursement; medical, dental, and vision insurance; prescription drug coverage; 401(k) retirement plan; short-term disability insurance; 8 weeks paid birthing leave; 2 weeks paid bonding leave; life and long-term disability insurance.
Depending on date of hire, and subject to applicable eligibility requirements, new employees in this role also receive up to: 12 days paid time off, 2 paid well-being days, 1 paid volunteer day, 12 paid holidays, and 3 floating holidays per year.
Our Culture: At Lennox, our Core Values of Integrity, Respect & Excellence are ingrained in the fabric of the organization. They define our culture - which is about how we do business and how we treat others. Lennox is not just a workplace; we are a global community that values each team member's contributions. As an equal opportunity employer, we are committed to recruit, develop, and retain talented individuals from a wide range of backgrounds, ensuring that everyone has the opportunity to succeed and contribute to our continued growth and success. At Lennox, you'll take pride in our brands, knowing you are part of something special. Come, stay, and grow with us!
Disclaimers: The compensation and benefits information is accurate as of the date of this posting. Lennox reserves the right to modify this information at any time, with or without notice, subject to applicable law.

What Lennox International employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply