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Intern Data Science Insurance Jobs in Houston, TX

HealthCorps

Monitoring & Evaluation Intern

Houston, TX · Remote

... Intern to join our team. The ideal candidate will play a crucial role in managing and analyzing ... Current undergraduate or graduate student studying public health, data science, social sciences, or ...

Hp

Principal AI Data Scientist

Spring, TX · On-site

$147K - $230K/yr

Responsibilities Leads organization-wide team or teams of other data science professionals in ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

Sycamore Life Sciences, LLC

Be Seen First

Inside Sales Intern

Houston, TX · On-site

$15 - $18/hr

Sycamore Life Sciences -- Inside Sales Intern (In-Office) Sycamore Life Sciences is seeking a ... Maintain and update CRM records (HubSpot) to ensure accurate lead and account data. * Help track ...

ConocoPhillips

Intern, Trading Analytics 2027

Houston, TX · On-site

$14.25 - $19/hr

The Trading Analytics Intern supports ConocoPhillips' Strategy, Analytics & Portfolio Optimization ... Pursuing a Bachelor's degree or higher in Mathematics, Statistics, Economics, Finance, Data Science ...

Tranquil Clinical Research

Research Intern

Webster, TX · On-site

The Research Intern will also form other duties such as data entry, and administrative duties such ... a medical or scientific research setting, preferred Required Skills/Knowledge Demonstrates ...

Chevron

2026-2027 Earth Scientist Full Time

Houston, TX

$108K - $140K/yr

Practical experience with geoscience coding, data science, and/or machine learning. Compensation ... As an intern, you will receive the following benefits: * Furnished housing. * Participation in ...

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All JobsIntern Data Science Insurance JobsIntern Data Science Insurance Jobs in Houston, TX

Intern Data Science Insurance information

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How much do intern data science insurance jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for intern data science insurance in Houston, TX is $21.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.41 per hour, depending on experience, location, and employer.

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.

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Data Science Machine Learning Internship (Summer 2027)

Castleton Commodities International LLC

Houston, TX

Full-time

Posted 25 days ago

Job description

Application Deadline: September 1, 11:59pm EST

Program Summary - Commercial Technology Internships

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT, Houston, TX, or New York City offices. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions.

Responsibilities:

  • Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions.
  • Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches.
  • Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams.
  • Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis.
  • Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights.
  • Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence.

Qualifications:

  • Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics.
  • Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.)
  • Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds.
  • Strong analytical skills with demonstrated attention to detail.

Apply