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

Noblesoft Technologies

Lead Earnix developer

Plano, TX · On-site

Data science * Insurance/financial services analytics (preferred) * Strong knowledge of: * Statistical analysis * Predictive modeling * Machine learning concepts * Data visualization * Proficiency in:

Gartner

Director, Data Science

Irving, TX · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance ...

HCLTech

Earnix Developer

Plano, TX · On-site

$180K/yr

Data science * Insurance/financial services analytics (preferred) * Strong knowledge of: * Statistical analysis * Predictive modeling * Machine learning concepts * Data visualization * Proficiency in:

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Goosehead Insurance Agency LLC

Data Scientist

Westlake, TX · On-site

$150 - $230/hr

About Goosehead Since 2003, Goosehead Insurance has been disrupting the insurance industry by ... Define and drive the vision for data science at Goosehead, identifying transformative opportunities ...

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EPIC Brokers

Lead Insurance Data Scientist

Dallas, TX · On-site

$150/hr

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... Required Qualifications • Bachelor's degree in Computer Science, Mathematics, Actuarial Science ...

Kemper

Data Scientist

Dallas, TX · On-site +1

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Data Science is a driver of significant competitive advantage for Kemper and is critical to the ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The ... insurance * paid vacation/holidays* * 401(k) with Company match * All associates are eligible for ...

Chewy

Senior Data Scientist

Richardson, TX

$109K - $190K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics ... We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81K/yr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The ... insurance, paid vacation/holidays*, and 401(k) with Company match. All associates are eligible for ...

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

Bachelor's Degree in Statistics, Mathematics, Engineering, Data Science, Computer Science, or ... life insurance, supplemental medical plans, and short and long-term disability) to eligible ...

Bread Financial

Data Scientist

Frisco, TX · On-site +1

$104K - $180K/yr

Job Summary The Senior Associate Data Science role at Bread Financial delivers best-in-class ... life insurance, supplemental medical plans, and short and long-term disability) to eligible ...

PepsiCo

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

PepsiCo

Data Scientist

Plano, TX · On-site

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

PepsiCo

Data Scientist

Plano, TX

$80K - $134K/yr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

PepsiCo Deutschland GmbH

Data Scientist

Plano, TX · On-site

$80.20 - $134.25/hr

The Data Science Pillar in D+A is our core organization that Data Scientist and ML Engineers report ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

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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.

Lead Earnix developer

Noblesoft Technologies

Plano, TX • On-site

Contractor

Re-posted 2 days ago

Job description

Role Name         Technical Lead(Earnix developer)
Location:            San Antonio/ Plano, TX
Mode of hire:     6 months C2H
 

Experience level               10+ years
Mandatory skills:

  • 3+ years of experience in:
    • Pricing analytics
    • Predictive modeling
    • Data science
    • Insurance/financial services analytics (preferred)
  • Strong knowledge of:
    • Statistical analysis
    • Predictive modeling
    • Machine learning concepts
    • Data visualization
  • Proficiency in:
    • SQL
    • Python or R
    • Excel
    • Tableau / Power BI


Job description:
Key Responsibilities

  • Develop, maintain, and optimize pricing and predictive models using statistical and machine learning techniques.
  • Analyze large datasets to identify pricing trends, customer behavior, and profitability drivers.
  • Support pricing strategy decisions through scenario analysis, forecasting, and simulations.
  • Build dashboards, reports, and visualizations to communicate insights to business stakeholders.
  • Collaborate with business, underwriting, product, and engineering teams to implement pricing solutions.
  • Validate model performance and ensure accuracy, consistency, and compliance with governance standards.
  • Conduct A/B testing and impact analysis for pricing changes and product enhancements.
  • Automate recurring analytical and reporting processes where possible.
  • Translate business requirements into analytical solutions and technical specifications.
  • Monitor market trends, competitor pricing, and customer behavior to recommend pricing adjustments.
  • Support regulatory and audit requests related to pricing models and data usage.


Required Qualifications

  • Bachelor’s degree in:
    • Data Science
    • Statistics
    • Mathematics
    • Economics
    • Computer Science
    • Actuarial Science
    • Engineering
    • Related quantitative field
  • 3+ years of experience in:
    • Pricing analytics
    • Predictive modeling
    • Data science
    • Insurance/financial services analytics (preferred)
  • Strong knowledge of:
    • Statistical analysis
    • Predictive modeling
    • Machine learning concepts
    • Data visualization
  • Proficiency in:
    • SQL
    • Python or R
    • Excel
    • Tableau / Power BI
  • Experience with:
    • Regression models
    • Classification models
    • Forecasting techniques
Data mining and segmentation