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Intern Data Science Insurance Jobs (NOW HIRING)

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic ...

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Intern Data Science Insurance information

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

As of Jun 22, 2026, the average hourly pay for intern data science insurance in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 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 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.
More about Intern Data Science Insurance jobs
What cities are hiring for Intern Data Science Insurance jobs? Cities with the most Intern Data Science Insurance job openings:
What are the most commonly searched types of Data Science Insurance jobs? The most popular types of Data Science Insurance jobs are:
What states have the most Intern Data Science Insurance jobs? States with the most job openings for Intern Data Science Insurance jobs include:
Technical Lead (Earnix developer) - San Antonio/ Plano, TX.

Technical Lead (Earnix developer) - San Antonio/ Plano, TX.

Yochana IT Solutions

San Antonio, TX

Other

Posted 12 days ago


Job description

Role: Earnix developer

Location: San Antonio/ Plano, TX

Mode of hire: 6 months C2H

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

Thanks & Regards,

Srinivas Mula,

Yochana IT Solutions INC,