Financial Analyst Internship - Fall 2026
Quick Summary
About Varda Low Earth orbit is open for business . Varda is accelerating the development of commercial space infrastructure, from in-orbit pharmaceutical processing to reliable and economical reentry capsules.
Build data structure to support Business and Finance KPIs Publish Dashboards to automate reporting Review existing systems/tools and enhance reporting mechanisms Enable Machine Learning to evolve automation Basic Qualifications Education : Currently…
About the Role
~1 min readInternships at Varda are optimal for students looking to grow technically and professionally while working on impactful projects critical to the company’s success. You will be working on a collaborative team in a startup environment while being able to learn from some of most accomplished and experienced aerospace professionals in the world. We’re dedicated to providing an experience that will let your decisions and contributions help drive Varda’s success.
As a part of the finance team you will collaborate with the team to develop data structures and enhance system capabilities for advanced analytics and dashboard creation. Utilize AI, Machine Learning, and LLMs to deliver business insights to executive leadership.
Responsibilities
~1 min read- →Build data structure to support Business and Finance KPIs
- →Publish Dashboards to automate reporting
- →Review existing systems/tools and enhance reporting mechanisms
- →Enable Machine Learning to evolve automation
Requirements
~2 min read- Education: Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering. Preference for college juniors/rising seniors.
- Programming Skills: Proficiency in Python, R, Java, Linux, C++, or VMWare.
- AI/ML Knowledge: Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms.
- Framework Experience: Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.
- Project Experience: Previous involvement in AI/ML projects or internships.
- Deep Learning: Knowledge of deep learning and neural networks.
- Data Visualization: Experience with tools like Matplotlib and Seaborn.
- Cloud Platforms: Familiarity with AWS, Google Cloud, or Azure.
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Varda, like all employers, must ensure that its employees working in the United States are lawfully authorized to work in the U.S. Additionally, our employees are exposed to and have access to certain export-controlled items. At present, some of our technology to which employees have access requires a license to be exported to individuals other than “U.S. Persons” as defined in U.S. export regulations. Because our employees are provided access to export-controlled items, our current policy is to only hire “U.S. persons” who are permitted to have access to our technology without an export license.
“US person” means: U.S. citizen, U.S. lawful permanent resident, or protected individual as defined by 8 U.S.C. 1324b(a)(3) (i.e., individual admitted to the U.S. as a refugee or granted asylum in the U.S.)
Learn more about the ITAR here.
What We Offer
~1 min readVarda Space Industries, Inc. participates in the U.S. Department of Homeland Security E-Verify program. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
E-Verify Notice Right To Work Notice
Location & Eligibility
Listing Details
- Posted
- May 12, 2026
- First seen
- May 14, 2026
- Last seen
- May 24, 2026
Posting Health
- Days active
- 10
- Repost count
- 0
- Trust Level
- 28%
- Scored at
- May 24, 2026
Signal breakdown
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