Machine Learning Engineer working on next - generation agentic AI platform at Salesforce. Collaborate with teams to innovate and design impactful AI systems for customers.
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Onsite Master's Thesis – Commodity Price Forecasting with Artificial Intelligence, Machine Learning
Posted 14 hours ago
About the role
- Data Analyst internship focusing on resource price forecasts with AI and machine learning methodologies at Fraunhofer Institute in Nürnberg. Collaborating on data analytics projects and applying modern techniques for predictive modeling.
Responsibilities
- You will investigate the feasibility of a price forecast for a commodity such as aluminum, scrap, or similar materials.
- You will work on a concrete data analytics project including data collection, data preprocessing, model development, and evaluation.
- You will learn to apply modern methods such as neural networks to develop predictive models.
Requirements
- You are enrolled in a degree program with a data-driven or economic focus (e.g., Business Mathematics, Mathematics, Statistics, Business Informatics, Computer Science).
- You have experience with the Python programming language, particularly with the packages PyTorch and Pandas.
- You are willing to study the theory behind forecasting methods and the price formation of the commodity.
- You are interested in data and the potential insights it holds.
- You work independently, thoroughly, and show initiative.
Benefits
- Flexible schedule: Benefit from flexible working hours that can be easily combined with your studies.
- Join a creative team: Experience an open and collegial working atmosphere where your ideas are valued.
- Inspiring variety: Enjoy diverse tasks that will inspire and challenge you.
- Shape the future: Contribute to application-oriented research and put your theoretical knowledge into practice.
- Exciting innovations: Work on forward-looking projects that make a real difference.
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