ML-Powered Finance Analytics Intern

UEC; El Segundo (CA); On-site; USD 28,000 - 41,000; Full time

Benefits offered by this job

Health insurance (vision & dental)

Lunch on site daily

Dinners on site twice a week

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

R

Java

Linux

C++

VMware

Education

Undergraduate or postgraduate CS/CE student

Tools

TensorFlow

PyTorch

scikit-learn

VMware

Job description

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.