Summer 2026 - Data Science Intern (Remote)

Date Posted:

2026-04-14

Country:

United States of America

Location:

US-CA-REMOTE

Position Role Type:

Remote

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

RTX is looking for a Data Science Intern who will be part of the Corporate Office of Supply Chain Data Science team and work with other functions on initiatives related to improving our business systems and processes across RTX.  In this role you will work with internal stakeholders to understand their goals and objectives to enable data-based decision making across the organization.

What You Will Do

• Work remotely between the hours of 9 – 5 PST

• Collaborate with internal stakeholders to understand their goals and objectives, enabling data-driven decision-making across the organization. Utilize programming skills to explore and analyze data.

• Identify patterns, trends, nuances, and potential data quality issues within complex datasets.

• Apply supervised and unsupervised machine learning techniques to extract insights from data.

• Communicate analysis findings and conclusions effectively to both technical and non-technical stakeholders.

• Integrate datasets from diverse business sources into a unified format for analysis.

• Develop custom queries to address ad-hoc and ongoing customer analytical requests.

Qualifications You Must Have

• Pursuing a bachelor’s or graduate degree in a quantitative field (e.g., Data Science, Computer Science, Mathematics) and must not graduate prior to September 2026

• Proficient in SQL, Python, and Pandas, with experience using Jupyter Notebooks.

• Skilled in creating visualizations with Python libraries (e.g., matplotlib, seaborn, plotly).

• Familiar with statistical principles (e.g., hypothesis testing), the machine learning model lifecycle, and ML libraries (e.g., XGBoost, Sklearn).

Qualifications We Prefer

• Experience programmatically interfacing with large language models (LLMs).

• Experience working with Spark or Databricks.

• Experience creating visualizations in Tableau.

Learn More & Apply Now!
Location: This position is remote.

Please consider the following role type definition as you apply for this role:
Remote: This position is currently designated as remote. Employees who are working in remote roles will work primarily offsite (from home) and may be expected to travel to an RTX facility as needed. 

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performanc