Finance – Data Structures/ Analytics Internship – Summer

Job Description

Apply finance and analytics skills to organize data structures, build reports, and deliver insights that shape business decisions.

Your Role

Key responsibilities include:
• Building data structures to support Business and Finance KPIs
• Publishing dashboards to automate reporting
• Reviewing existing systems and tools to enhance reporting mechanisms
• Enabling Machine Learning to evolve automation

About You

The company is looking for:
• Currently enrolled undergraduate or postgraduate student in Computer Science or Computer Engineering, preferably 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 with AI/ML projects or internships
• Knowledge of deep learning and neural networks
• Experience with data visualization tools like Matplotlib and Seaborn
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure
• Must be a U.S. person as defined by U.S. export regulations (U.S. citizen, lawful permanent resident, or protected individual)

Benefits
• Work alongside an exciting team of top professionals in aerospace
• Health insurance including vision and dental
• Lunch and snacks provided daily; dinners provided twice a week
• Equity, 401(k) matching, unlimited PTO, and parental leave available for full employees (interns excluded)

Training & Development

Interns will grow technically and professionally by working on impactful projects in a startup environment and learning from experienced aerospace professionals.

How to Apply

Internships are full-time, on-site in Los Angeles, CA, running between May and August depending on university schedules.

This job may close before the stated closing date, you are encouraged to apply as soon as possible

Report this job