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Intern Data Science Insurance Jobs in Puerto Rico

PR · On-site

$16.25 - $21.25/hr

Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a ... Data Science, Computer Science, or related fields. * Interest in data analysis, business ...

PR

$48/hr

Degree on Data Science, Statistics, Data Mining, Applied Mathematics, Engineering, Computer Science ... term life, whole life, accident insurance, critical illness, a legal plan, and short-term ...

PR · On-site

$45K - $55K/yr

Bachelor's degree in Data Science , Statistics , Economics , Computer Science , or related field ... Health insurance, PTO, and competitive salary + bonus opportunities * Culture of collaboration ...

Perform data entry, data management, data evaluation, and data presentation. * Support the ... Pursuing Bachelor or Associate Degree in Engineering, Computer Science or related field. * Minimum ...

PR · On-site

$12/hr

... the life science manufacturing industry. The company offers highly capable resources at an ... Data Management: Update and maintain spreadsheets, databases, and inventories with accurate ...

This includes planting, field maintenance, data collection, harvesting, and material handling. • ... insurance, commuter benefits and a 401K plan. Our benefit offerings provide employees the ...

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... Medical, dental, and vision insurance for employees and their dependents * Retirement savings plan ...

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... Medical, dental, and vision insurance for employees and their dependents * Retirement savings plan ...

Position Summary The Operational Excellence Co-op Intern will support continuous improvement ... Collect, organize, and analyze operational data to identify efficiency and productivity ...

PR · On-site

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... Medical, dental, and vision insurance for employees and their dependents * Retirement savings plan ...

At Kelly ® Science, Engineering, Technology & Telecom (SETT) , we're passionate about helping you ... trials, data analysis and process modeling. * Ensure process complies with current industry ...

At Kelly ® Science, Engineering, Technology & Telecom (SETT) , we're passionate about helping you ... trials, data analysis and process modeling. * Ensure process complies with current industry ...

PR · On-site

Demonstrate mastery of broad range of experimental techniques and methods of data analysis ... vision insurance and 401(k) to eligible employees. * This job is eligible to participate in our ...

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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 job categories do people searching Intern Data Science Insurance jobs in Puerto Rico look for? The top searched job categories for Intern Data Science Insurance jobs in Puerto Rico are:

Analytics Engineering Intern

On Point Strategy LLC

PR • On-site

$16.25 - $21.25/hr

Internship

Posted 28 days ago


Job description

Analytics Engineering Intern


Position Summary

At On Point Strategy, we believe that data tells a story, and we make that story visible.


We are looking for an Analytics Engineering Intern who is eager to learn and passionate about transforming information into actionable insights. This role is ideal for students with curiosity for programming, process automation, and building scalable analytical solutions.


As part of our Analytics team, you will collaborate with experienced professionals, contribute to real projects, and strengthen your technical and analytical skills in a dynamic environment.



Key Responsibilities

  • Support the development of automated data workflows and reporting processes.
  • Assist in building scripts and tools using Python to improve operational efficiency.
  • Work with structured and unstructured data to support analytics and automation initiatives.
  • Collaborate on process optimization and automation projects across teams.



Technical Requirements

  • Familiarity with Python for scripting, automation and/or data analysis.
  • Basic knowledge of SQL and data querying concepts.
  • Exposure to Power BI or visualization tools.
  • Familiarity with APIs, automation tools, or workflow optimization concepts is a plus.
  • Intermediate proficiency in Excel and data organization.



Professional Qualifications

  • Currently pursuing a Bachelor’s degree in Statistics, Engineering, Economics, Business Administration, Data Science, Computer Science, or related fields.
  • Interest in data analysis, business intelligence, or analytics consulting.
  • Strong analytical thinking and attention to detail.
  • Good communication and collaboration skills.
  • Ability to learn quickly and work in a team-oriented environment.
  • Self-motivated, organized, and curious mindset.



Preferred Qualifications

  • Experience with Python libraries such as Pandas and NumPy, and familiarity with writing scripts for data processing or automation.
  • Experience building academic or personal projects involving data pipelines, dashboards, or automation.
  • Familiarity with GitHub, Git, or version control tools.
  • Interest in building integrations, automations, or data workflows using APIs and scripting tools.
  • Interest in AI, machine learning, or intelligent automation.


Why Join Us

  • Gain hands-on experience working on real business and analytics projects.
  • Receive mentorship and hands-on exposure to real-world analytics and automation projects.
  • Learn from a multidisciplinary team that combines strategy, analytics, and creativity.
  • Develop technical and professional skills in a collaborative environment.
  • Opportunity for growth and future career opportunities within the organization.



Additional Information

  • Candidates are encouraged to share academic, personal, or GitHub projects related to analytics, automation, programming, or data visualization.