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Data Science Intern Jobs in Puerto Rico (NOW HIRING)

FUNCTIONS 1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization. 2. Leading the projects and be part of cross ...

New

Data Scientist

Juncos, PR · On-site

$90 - $120/hr

Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization. * Leading the projects and be part of cross functional teams ...

Posted today

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 ...

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Doctorate or Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience Bachelors + 4 ...

Leading, using and developing data science, machine learning, and artificial intelligence capabilities across Amgens commercial organization. * Leading the projects and be part of cross functional ...

PR

$48/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Degree on Data Science, Statistics, Data Mining, Applied Mathematics, Engineering, Computer Science, Business Analytics, or related. Preferred: Software Engineering or Data Science/Analytics.

New

PR · On-site

$95K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

You can tell which questions need a rigorous answer and which need a good-enough answer by Thursday. * 3+ years in data science, analytics engineering, or quantitative analysis with real operational ...

Intern

Guaynabo, PR · On-site

$15 - $20/hr

The Intern position is a Full time, Temporary position ... Support project teams in research, data analysis and documentation. * Contribute to the development ...

PR · On-site

Quality Manager __ As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed. You will ...

Quality Manager As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed. You will also ...

Quality Manager As an intern, you will have the opportunity to gain practical experience through various projects. Each day, you will acquire knowledge by performing tasks as directed. You will also ...

PR - Agricultural Intern

Manati, PR

$14/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Responsibilities: PR - Agricultural Intern (GUANICA / SABANA GRANDE)* Job Objectives: Give ample ... This includes planting, field maintenance, data collection, harvesting, and material handling.

PR · On-site

$11.50 - $15.50/hr

Interns will receive end-of-season reviews and each intern will be assigned a property manager, supervisor or leader as a mentor. * Candidates selected will truly want to learn and experience first ...

PR · On-site

Build software that runs on a live 1 GW production line -- internal tools, dashboards, data ... Pursuing a degree in Computer Science, Software Engineering, or a related field. * Programming ...

Human Resources Intern

Caguas, PR · On-site

$14.75 - $19.50/hr

As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and ...

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Data Science Intern information

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

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 are popular job titles related to Data Science Intern jobs in Puerto Rico?

For Data Science Intern jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in Puerto Rico look for?

The top searched job categories for Data Science Intern jobs in Puerto Rico are:

Infographic showing various Data Science Intern job openings in Puerto Rico as of August 2026, with employment types broken down into 50% Internship, 30% Full Time, and 20% Temporary. Highlights an 100% In-person job distribution.

Full-time

Posted 3 days ago

New


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:

  • Data Scientist

Description:

SUMMARY
The Data Scientist will lead projects and collaborate with business partners including commercial insights teams, manufacturing, supply chain, engineering, data teams, external vendor partners, service owners and IS partners to develop analytical models and insights across the PR Operations Organization to answer/solve specific business problems. This role will lead advanced analytics projects from the front and will be responsible for end to end execution. This role will innovate and create significant business impact through the strategic use of advanced analytics techniques.
FUNCTIONS
1. Leading, using and developing data science, machine learning, and artificial intelligence capabilities across the commercial organization.
2. Leading the projects and be part of cross functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value.
3. Taking the initiative and work independently with minimal supervision
4. Identifying business needs, doing SWOT analysis, proposing potential analytical approaches for solutions, obtain approvals and the execute the work end to end.
5. Building high-performance algorithms, prototypes, predictive models and proof of concepts using Python
6. Working with SQL and other DB query languages
7. Leading, collaborating and communicating cross-functionally with stakeholders to develop appropriate methodology to answer specific business questions
8. Presenting analysis ideas, progress and results to business partners in clear and impactful manner
9. Creating powerful stories in PowerPoint. Well versed in MS Office suite specifically Excel and PowerPoint
10. Assuring compliance with regulatory, security, and privacy requirements as it relates to data assets
EDUCATION

  • Masters + 2 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Bachelors + 4 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR
  • Associates + 8 years of data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field experience OR


COMPETENCIES/SKILLS
1. Degree in Data Science, Engineering, Mathematics, Applied Physics, Statistics, or Operations Research
2. Experience leading the projects and in executions of the projects end to end
3. Experience with databases including relational, SQL, and Graph
4. Programming experience with Python, R, or SAS and experience with ML libraries like scikitlearn, MLib, Keras, TensorFlow, Pytorch, etc.
5. Write well-abstracted and reusable code in Python, R, or Scala; you freely navigate in Linux environment;
6. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills
7. Excellent organization/planning skills and talent for managing many large and complex datasets
8. Ability to collaborate and influence business partners and other IS resources to drive analytic projects end-to-end
9. Excellent communication skills to communicate analysis in a clear, precise, and actionable manner
10. Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.)
11. Passion for learning and staying on top of current developments in advanced analytics.
12. Biotech / Pharma experience

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.