ZipRecruiter

Log In

1

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

Rysun Labs Inc

Data Technical Architect

Houston, TX · On-site

$70/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Bachelor's or Master's degree in Computer Science, IT, Data Science, or related field. Preferred ...

Fuze Health

Data Engineer

Texas City, TX

$140K - $175K/yr

We work closely with Data Scientists and Data Analysts to transform data into meaningful business ... AD&D) insurance, flexible spending account (FSA) and health savings account (HSA), commuter ...

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field ... Health Insurance * Life Insurance * Paid time off Schedule: * Monday to Friday Work location:

Stem Xpert

biztalk developer

Houston, TX

... Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting ... Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to ...

previous pagenext page

Showing results 21-40

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

Data Science Insurance information

See Houston, TX salary details

$22.3K

$105.1K

$198.2K

How much do data science insurance jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science insurance in Houston, TX is $105,069.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,398.00 and $149,258.00 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 the most commonly searched types of Data Science Insurance jobs in Houston, TX? The most popular types of Data Science Insurance jobs in Houston, TX are:
What are popular job titles related to Data Science Insurance jobs in Houston, TX? For Data Science Insurance jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Data Science Insurance jobs in Houston, TX look for? The top searched job categories for Data Science Insurance jobs in Houston, TX are:
What cities near Houston, TX are hiring for Data Science Insurance jobs? Cities near Houston, TX with the most Data Science Insurance job openings:
Data Science Insurance jobs near you
Infographic showing various Data Science Insurance job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $105,069 per year, or $50.5 per hour.

Data Technical Architect

Rysun Labs Inc

Houston, TX • On-site

$70/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

 
Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
 
 We are looking for an experienced Data Technical Architect to design and implement scalable data platforms, modern data architectures, and cloud-based analytics solutions. The ideal candidate should have strong expertise in Databricks, Data Engineering, Big Data technologies, and cloud platforms.
 
Job Title: Data Technical Architect
Location: Houston Tx
Experience: 6+ Years
 
Mandatory Certification:
  • Databricks Certified Data Engineer Associate OR
  • Databricks Certified Data Engineer Professional
 
Key Responsibilities: 
  • Design and implement enterprise-scale data architectures and Lakehouse solutions.
  •  Lead Databricks-based data engineering initiatives.
  • Architect and optimize ETL/ELT pipelines for batch and real-time processing.
  • Collaborate with business stakeholders and technical teams to define data strategies and solutions.
  •  Ensure data governance, security, quality, and performance best practices.
  • Mentor data engineering teams and provide architectural guidance.
 
Required Skills
  • Databricks (Delta Lake, Unity Catalog, Workflows, Databricks SQL)
  •  Apache Spark / PySpark
  • Python & SQL
  •  Data Warehousing and Data Modeling
  •  ETL/ELT Architecture
  • Cloud Platform: Azure / AWS / GCP
  •  Real-time and Batch Data Processing
  • Data Lakehouse Architecture
 
Preferred Skills
  •  Snowflake, Synapse, Kafka
  • CI/CD and DevOps practices
  • Exposure to AI/ML and MLOps platforms
  •  Client-facing architecture and consulting experience
Qualifications
  • Bachelor's or Master's degree in Computer Science, IT, Data Science, or related field.
 
Preferred Profile
  • A hands-on Data Architect with strong Databricks expertise, capable of leading enterprise data transformation initiatives, driving architecture decisions, and mentoring engineering teams while working closely with clients and stakeholders.