Financial Analyst Internship - Fall 2026

UEC; El Segundo (CA); Vor Ort; USD 28.000 - 41.000; Vollzeit

Benefits dieser Stelle

Health insurance (vision & dental)

Lunch on site daily

Dinners on site twice a week

Zusammenfassung

UEC is seeking a student in Computer Science or Computer Engineering to build data structures and publish dashboards for Business and Finance KPIs. The role involves reviewing current reporting tools and enabling machine learning to enhance automation.

You should be pursuing an undergraduate or postgraduate degree, with preference for juniors or rising seniors, and you will work with Python, R, Java, Linux, C++, or VMware, plus ML frameworks like TensorFlow, PyTorch, and scikit-learn.

Qualifikationen

• Must be enrolled in an undergraduate or postgraduate program in CS or CE, with juniors or rising seniors preferred.
• Proficiency in Python, R, Java, Linux, C++, or VMware.
• Strong understanding of Large Language Models and ML algorithms, plus familiarity with ML frameworks.

Aufgaben

• Build data structures to support Business and Finance KPIs.
• Publish dashboards to automate reporting.
• Review existing systems and tools to enhance reporting mechanisms.
• Enable machine learning to evolve automation.

Kenntnisse

Python

R

Java

Linux

C++

VMware

Ausbildung

Undergraduate or postgraduate CS/CE student

Tools

TensorFlow

PyTorch

scikit-learn

VMware

Jobbeschreibung

Your Role

Here's what you will be doing:

• Build data structures to support Business and Finance KPIs
• Publish dashboards to automate reporting
• Review existing systems and tools to enhance reporting mechanisms
• Enable machine learning to evolve automation

About You

The company is looking for candidates with the following qualifications:

• Currently enrolled in an undergraduate or postgraduate program, majoring in Computer Science or Computer Engineering; preference for college juniors or rising seniors
• Proficiency in Python, R, Java, Linux, C++, or VMWare
• Strong understanding of Large Language Models (LLMs) and Machine Learning algorithms
• Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn
• Preferred experience includes AI/ML projects or internships, knowledge of deep learning and neural networks, data visualization tools like Matplotlib and Seaborn, and familiarity with cloud platforms such as AWS, Google Cloud, or Azure

Compensation & Benefits

• Health insurance including vision and dental
• Lunch and snacks provided on site daily; dinners provided twice a week