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Intern Data Science Insurance Jobs in Texas (NOW HIRING)

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions. * Demo results and deliver concise ...

Swbc

Senior Data Scientist

San Antonio, TX · On-site

  • Medical

  • Retirement

Act as the technical lead for high-impact data science projects, from ideation through production ... Financial services or insurance experience preferred. * Exceptional communication and leadership ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions. * Demo results and deliver concise ...

SWBC

Senior Data Scientist

San Antonio, TX · On-site

  • Medical

  • Retirement

Act as the technical lead for high-impact data science projects, from ideation through production ... Financial services or insurance experience preferred. * Exceptional communication and leadership ...

JCPenney

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 · On-site

$109K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Chewy

Senior Data Scientist

Richardson, TX · On-site

$109K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Doist

Data Scientist

Houston, TX · On-site

$140 - $190/hr

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning ...

New

Bread Financial

Lead Data Scientist

Frisco, TX · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 41-60

All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Texas

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 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 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:

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What cities in Texas are hiring for Intern Data Science Insurance jobs?

Cities in Texas with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you

Data Analytics Intern

Trinity Industries

Dallas, TX • On-site

Internship

Re-posted 16 days ago

Trinity Industries rating

6.5

Company rating: 6.5 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

408th of 489 rated machine equipment manufacturers

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.
This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.
What You'll Do:
  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.

What You'll Have:
  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have
  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

What Trinity Industries employees say

Pay

Benefits

Hours and flexibility

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