Internship Data Science Sustainability Jobs in Puerto Rico

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At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense.

We are seeking a motivated Data Analytics Engineer with foundational knowledge in Mechanical Engineering and Machine Learning.  In this role, you will analyze aircraft services and engineering datasets, uncover performance insights, and develop predictive models that support forecasting, field performance and reliability initiatives.

A solid understanding of mechanical engineering fundamentals will help you interpret technical data and collaborate effectively with subject matter experts. This analytics‑focused role works closely with engineering discipline owners, offering opportunities for professional growth and meaningful contributions to data driven reliability improvements. 

This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.

This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.

What YOU will do:

• Analyze engineering and aircraft performance datasets to generate actionable insights for product performance and reliability.
• Perform data curation, cleaning, integration, and preparation for analytics, modeling, and machine learning workflows.
• Work with strain gauge, structural, thermal, and flight/aircraft data to extract features, identify trends, and detect anomalies or predictive indicators.
• Develop, train, and validate machine learning (ML) models (e.g., supervised learning, unsupervised learning, clustering, anomaly detection) for applications such as predictive maintenance, service interval estimation, and performance forecasting.
• Define validation methods, acceptance criteria, and performance metrics for analytical and predictive models.
• Generate data-driven insights and recommendations for design, reliability, service engineering, and customer support teams.
• Conduct statistical analyses to evaluate the quality and completeness of engineering or enterprise data.
• Collaborate with engineering teams to support investigations and continuous improvement initiatives using enterprise data resources.
• Prepare technical documentation, presentations, and reports for both technical and non-technical audiences.
• Occasionally travel domestically and/or internationally to support project requirements. 

What YOU will learn:

• You will learn about our growing engineering team in Puerto Rico; What we do? Who we support? How we work?
• You will learn the technologies of today and tomorrow which we count on to maintain world leadership in the aerospace industry.
• You will learn why people enjoy and feel fulfilled by working in our industry.

Qualifications you must have:

• Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years prior relevant experience or an Advanced Degree in a related field.
• Demonstrated professional experience communicating in English (verbal and written).
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
• Experience in data analytics workflows, statistical methods, and engineering data interpretation (internship/co-op experience qualifies)
• Hands-on experience with Python for data analysis (e.g., NumPy, Pandas, PySpark).
• Practical knowledge of machine learning concepts, with experience developing and validating models for prediction, classification, or anomaly detection.
• Foundational understanding of mechanical engineering principles (e.g., structural behavior, dynamics, thermal concepts) or familiarity with aircraft systems.
• Strong analytical and problem‑solving abilities, with the capability to communicate technical insights clearly to engineering and non‑technical stakeholders.
• Proficiency with Microsoft Office tools.

Qualifications We Prefer:

• Degree in Mechanical Engineering, Aerospace Engineering, or a closely related STEM field
• Experience in aerospace, defense, or related industry.
• Familiarity with database tools and SQL for data extraction and manipulation.
• Exposure to data visualization tools (e.g., Tableau, Power BI).
• Experience with Agile methodologies and tools such as JIRA and Confluence.
• Exposure to digital thread concepts, PLM systems, or model-based engineering workflows.
• Experience applying machine learning (ML) models to mechanical engineering or physical‑system datasets. 

What We Offer

Some of our competitive benefits package includes:

• Medical, dental, and vision insurance
• Three weeks of vacation for newly hired employees
• Generous 401(k) plan that includes employer matching funds
• Participation in the Employee Scholar Program (ESP)
• Life insurance and disability coverage
• Employee Assistance Plan, including up to 8 free counseling sessions.
• And more!

Learn More & Apply Now!

Collins Aerospace, an RTX business, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Join our growing engineering team in Puerto Rico, where you will provide critical support to all Collins SBUs, working on exciting programs and projects ranging from the development of the next generation of advanced concept ejection seats to the latest technologies for the U.S. warfighter.

WE ARE REDEFINING AEROSPACE.

* Please consider the following role type definition as you apply for this role.

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite.  Ratio of time working onsite will be determined in partnership with your leader.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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