Working Student in Data Science Forecasting - Remote

Overview

As a Working Student or Intern in Data Science Forecasting, you will join our team to help shape the future of decentralized Energy Management Systems (EMS), focusing on time-series forecasting models.

In Short

• Support the development, training, and testing of time-series forecasting models.
• Assist in monitoring and troubleshooting forecasting models in production.
• Help build and maintain data transformation pipelines using SQLMesh and BigQuery.
• Use simulation frameworks to backtest forecast models.
• Assist in writing and testing behaviors for autonomous AI agents.
• Maintain clear technical documentation and collaborate with team members.

Requirements

• Enrolled in a Bachelor’s or Master’s program in a quantitative field.
• Solid coding skills in Python and familiarity with data science libraries.
• Theoretical understanding of machine learning principles and model architectures.
• Enthusiastic about troubleshooting data quality issues.
• Team-oriented mindset and experience in agile environments.
• Genuine interest in renewable energy and related fields.

Benefits

• Be part of a dynamic and motivated international team.
• Directly impact the energy transition and climate change.
• Learn from experienced colleagues and decision-makers.
• Remote work opportunities with offices in Hamburg, Berlin, or Munich.
• Enjoy benefits and discounts through Futurebens.