Machine Learning Engineer in Workday's AI Platform team developing systems for agent observability and optimization. Solving complex challenges with innovative ML solutions and advanced algorithms in a collaborative environment.
FI
Onsite Master thesis – Commodity Price Forecasting, Artificial Intelligence, Machine Learning
Posted 43 minutes ago
About the role
- Data Science project analyzing price trends for commodities using AI at Fraunhofer Institute. Collaborating on Data Analytics projects to develop predictive models and understanding price formation.
Responsibilities
- You will investigate the feasibility of a price forecast for a commodity such as aluminum, scrap metal, or similar.
- You will carry out a concrete data analytics project including data collection, data preparation, model development, and evaluation.
- You will learn to apply modern methods such as neural networks to develop predictive models.
Requirements
- You are studying a program with a data-driven or economic focus (e.g., Mathematical Economics, Mathematics, Statistics, Business Informatics, Computer Science).
- You have experience with the Python programming language, particularly with the PyTorch and Pandas libraries.
- You are willing to learn the theory of forecasting methods and the mechanisms of price formation for the commodity.
- You are interested in data and the potential it holds.
- You work independently, thoroughly, and show initiative.
Benefits
- Set your schedule: Benefit from flexible working hours that fit perfectly with your studies.
- Join a creative team: Experience an open and collegial working atmosphere where your ideas are valued.
- Diversity that inspires: Look forward to varied tasks that inspire and challenge you.
- Shape the future actively: Contribute to application-oriented research and apply your theoretical knowledge in practice.
- Innovations that excite: Work on exciting, forward-looking projects that make a real difference.
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