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Data Science Internship Jobs in Puerto Rico (NOW HIRING)

PR

$59K - $60K/yr

Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ... Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word ...

PR

$57K - $58K/yr

Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ... Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word ...

Contribute to the design and implementation of software applications and data workflows ... Bachelor's degree in Computer Science, Software Engineering, or a related field. * 1+ years of ...

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 ...

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... data integration, or a related technical role * Working knowledge of Python and SQL (internships ...

Junior Integration Developer

Guaynabo, PR

$67K - $87K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... data integration, or a related technical role * Working knowledge of Python and SQL (internships ...

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/yr

Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent ... data integration, or a related technical role * Working knowledge of Python and SQL (internships ...

PR · On-site

$12/hr

Data Management: Update and maintain spreadsheets, databases, and inventories with accurate ... Prior internship or volunteer experience in a marketing or communications role. SKILLS Technical ...

PR · On-site

Related engineering, internship or co-op work experience. * Proficiency with PLS-CADD and PLS-POLE ... You are expected to take engineering problems from issue to solution using data and modern tools ...

Data Science Internship information

What are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the most commonly searched types of Data Science jobs in Puerto Rico? The most popular types of Data Science jobs in Puerto Rico are:
What job categories do people searching Data Science Internship jobs in Puerto Rico look for? The top searched job categories for Data Science Internship jobs in Puerto Rico are:
Infographic showing various Data Science Internship job openings in Puerto Rico as of June 2026, with employment types broken down into 14% Internship, 72% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Hybrid job distribution.

Associate CSV - Periodic Review Scientist

Validation & Engineering Group, Inc

PR

$59K - $60K/yr

Full-time

Posted 29 days ago


Job description

Validation & Engineering Group, Inc. (V&EG) a Pinnaql company is a leading services supplier who provides solutions for the Pharmaceutical, Biotechnology, Chemical, Food, and Medical Devices industries in the following areas: Laboratory, Compliance, Computer, Engineering, Project Management, Validation, and other services.

We are seeking a talented, dedicated individual committed to work under the highest ethics standards for the following position:

  • Associate CSV – Periodic Review Scientist

Position Summary

The Associate CSV Periodic Review Scientist supports the execution of periodic reviews for GxP computer systems to ensure compliance with regulatory requirements and maintenance of the validated state. This entry-level role focuses on learning and applying validation principles, supporting risk-based assessments, and developing technical and compliance expertise in a GMP-regulated environment.

Key Responsibilities

  • Assist in the execution of Periodic Reviews (PR) for GxP computer systems under supervision.
  • Support the evaluation of:
    • Change controls, deviations, and CAPAs
    • System maintenance and calibration status
    • User access reviews and audit trails
    • Backup and restore processes
  • Help compile and organize documentation for PR reports.
  • Apply basic risk-based thinking to assess system status and identify potential issues.
  • Ensure documentation meets GDP (Good Documentation Practices) requirements.
  • Collaborate with cross-functional teams such as QA, IT, Engineering, and Operations.
  • Support audit and inspection readiness activities.
  • Follow procedures aligned with 21 CFR Part 11, EU Annex 11, and Data Integrity requirements.
  • Participate in training programs to build knowledge in CSV/CSA and GxP compliance.

Qualifications

  • Bachelor’s degree in:
    • Engineering (any discipline)
    • Computer Science / Information Systems
    • Life Sciences (Biology, Chemistry, Microbiology)
  • 0–2 years of experience in:
    • GMP environment, validation, IT, or quality (internships or co-ops acceptable)
  • Exposure to computer systems or regulated environments is a plus

Technical Skills

  • Basic understanding (or willingness to learn):
    • GxP regulations
    • Data Integrity (ALCOA+)
    • CSV/CSA concepts
  • Familiarity with:
    • Microsoft Office (Excel, Word, PowerPoint)
  • Exposure to GxP systems (SAP, LIMS, etc.) is a plus but not required

Preferred Qualifications

  • Internship experience in pharmaceutical, biotech, or regulated industries
  • Basic knowledge of validation lifecycle or system documentation
  • Exposure to audit or compliance activities

At Validation & Engineering Group, people always come first. We believe that when you're empowered to do your best work, bold ideas thrive and real progress happens. This isn't just a job - it's an opportunity to make a meaningful difference by shaping the future of healthcare and technology alongside a purpose-driven, supportive team.
Excited to build something meaningful together? We look forward to hearing from you.
Validation & Engineering Group is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.