Data Science Engineer - Forecasting & Renewable Trading

• Discover new ways to optimize our battery and renewable forecasting models using alternative data sources and state-of-the-art machine learning (ML) models.
• Own the full model lifecycle end-to-end: Translate your research into production-ready code, covering everything from data extraction (ETL) to deployment and continuous monitoring.
• Maintain and enhance our 24/7 forecasting infrastructure, ensuring high availability and resilience.
• Help us scale our algorithms to new markets (e.g., Japan) and new asset types, ensuring our models reflect local market dynamics.
• Visualize data to monitor model performance and support our commercial teams with pricing evaluations., We believe in transparency and keep our colleagues updated on every aspect of our business. Furthermore, we offer a wide range of benefits
• 30 days of vacation
• 60 days of work from anywhere
• Hybrid and flexible working model
• Extensive support of lifelong learners
• Referral bonus
• Regular social events and holiday party
• Free public transportation ticket for enspis based in Vienna
• Free lunch & fruits, and fair-trade coffee at the office
• Offsetting your private CO2 emissions
• Sustainable enspired merch

Do you have a Master's degree?, * Excel in Python and have expert knowledge of deep learning (PyTorch) and machine learning (sklearn) frameworks.

• Have a background in computer science, physics, math, or AI with a focus on Time-Series Forecasting.
• Have some experience with cloud technology (e.g. AWS) and databases (e.g. MongoDB).
• Bring extensive expertise in software engineering practices (clean code, testing, CI/CD).
• Are comfortable utilizing AI agents and coding assistants to accelerate development and solve problems efficiently.
• Know how to design and maintain 24/7 systems and regard system reliability as key.
• Knowledge of energy markets is considered a plus.
• Value great team spirit and creative freedom.
• Enjoy solving complex problems independently as well as in a team.

We are an equal opportunity employer and consider all qualified applicants. We offer an attractive salary which corresponds to your skills of at least EUR 70.000,- gross annually.