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Intern Data Science Insurance Jobs in Texas (NOW HIRING)

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 ...

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 ...

Copart is seeking a Data Science Senior Analyst to help provide vision and commitment to key Copart ... D Insurance • Discounts Along with many other employee benefits. #LI-KK1 At Copart, we are ...

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... education, professional licensing, intern development programs, University of Parkhill.

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... education, professional licensing, intern development programs, University of Parkhill.

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... education, professional licensing, intern development programs, University of Parkhill.

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... education, professional licensing, intern development programs, University of Parkhill.

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... education, professional licensing, intern development programs, University of Parkhill.

Contribute to the growth of Parkhill's data science capabilities. * Stay current with emerging ... education, professional licensing, intern development programs, University of Parkhill.

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Intern Data Science Insurance information

What does an Intern Data Science Insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What are the key skills and qualifications needed to thrive as an Intern Data Science in Insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What types of projects can an Intern in Data Science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.
What are the most commonly searched types of Data Science Insurance jobs in Texas? The most popular types of Data Science Insurance jobs in Texas are:
What are popular job titles related to Intern Data Science Insurance jobs in Texas? For Intern Data Science Insurance jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Intern Data Science Insurance jobs in Texas look for? The top searched job categories for Intern Data Science Insurance jobs in Texas are:
What cities in Texas are hiring for Intern Data Science Insurance jobs? Cities in Texas with the most Intern Data Science Insurance job openings:

AI/ML Engineer Intern, Data Engineering

Ryan, LLC

Plano, TX

Full-time

Posted 7 days ago


Job description

Why Ryan?

  • Competitively Paid Internship

  • Award-Winning Culture

  • Paid Holidays

  • Mentorship Opportunities and Hands-On Training

  • Networking with Industry Leaders

  • All-Expense-Paid Trip to Ryan Headquarters in Dallas, TX (Summer Interns Only)

The AI/ML Engineer Intern, Data Engineering will support the development and deployment of AI and machine learning solutions that improve business processes and operational efficiency. This role provides hands-on experience with AI/ML technologies, cloud platforms, data engineering pipelines, and modern software development practices.
The intern will collaborate with AI/ML engineers, data engineers, data scientists, and product teams to assist with building scalable data and AI solutions using Python, cloud services, and machine learning frameworks.

Duties and Responsibilities:

  • Assist in developing and testing AI/ML models and data pipelines.

  • Support cloud-based AI/ML deployments in Azure or AWS environments.

  • Contribute to data engineering and MLOps workflows.

  • Work with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and MLFlow.

  • Participate in Agile development activities and team collaboration.

  • Support generative AI and data-driven solution initiatives.

Education and Experience:

  • Working toward a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.

  • Anticipated graduation date within one year of internship

  • Minimum Overall and Major GPA of 2.8

  • Familiarity with Python or other programming languages.

  • Basic understanding of machine learning, databases, and cloud technologies.

  • Strong analytical, communication, and problem-solving skills.

  • Exposure to AI/ML projects, Git, or cloud platforms is a plus.

Professional Skills Requirements:

  • Work effectively in a fast pace, high-energy environment.

  • Strong problem solving, attention to detail, and communication skills.

  • Ability to prioritize tasks, work on multiple assignments, and manage ambiguity.

  • Ability to work both independently and as part of a team with professionals at all levels.

  • Intermediate knowledge of all Microsoft Office applications, Outlook, and etc.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Word, Access, Excel, PowerPoint, Outlook, and Internet navigation and research.

Certificates and Licenses:

Valid driver's license required.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Equal Opportunity Employer: disability/veteran