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Electricity flows with us. On behalf of Switzerland and in cooperation with international partners, we do our utmost every day to develop the best solutions for the Swiss electricity grid.
Our team in Aarau is looking for an
Intern Data Science & Machine Learning (80-100%) - 1583
Power Switzerland's Energy Future – From Day One
At Swissgrid, we don't just observe the energy transition, we engineer it. As the operator of Switzerland's national transmission grid, we sit at the nexus of a rapidly evolving European electricity market. Our Market Optimization & Decision Support team develops forecasting and automation solutions that directly support grid operators in their 24/7 mission to ensure a reliable power supply. By joining us, you will contribute to impactful work at the heart of Switzerland’s electricity system.
The Internship: Where Learning Meets Real Impact
You’ll work on challenging and meaningful data science and machine learning projects. You’ll gain unique insights into the Swiss transmission system while working alongside a motivated, international team of data scientists and engineers. The work is real from day one—real data, real decisions, and real impact. You’ll have access to a modern, cloud-native tech stack and the latest AI development tools, and you’ll be encouraged to bring and run with your creative, AI-driven approaches to complex data problems.
What you will work on
Roll up your sleeves for challenges like these:
Build and ship forecasting models that solve real energy-sector problems with a sharp focus on safety, scalability, and production robustness. You'll experiment freely: tuning hyperparameters, benchmarking architectures, and proposing novel approaches.
Design and build data pipelines that process large-scale time-series data reliably and efficiently, forming the backbone of model training and deployment workflows.
Explore and analyze data surface hidden patterns, engineer high-signal features, and push forecasting accuracy further.
Work AI-natively – integrate AI tools into your daily development practice to sharpen analysis, accelerate iteration, smoothen workflows and improve efficiencies.
Collaborate and communicate across teams , gather feedback from stakeholders, and make sure your work connects meaningfully to the broader business mission.
What Makes You a Great Fit
We are looking for a builder – someone with the curiosity to experiment and the discipline to deliver. You'll thrive here if you bring:
Academic foundation: Currently pursuing (or recently completed) a Bachelor's or Master's in Computer Science, Data Science, Engineering, Mathematics, Economics, or a related field.
Strong Python skills and solid software engineering instincts – version control, clean code, and reproducible workflows are second nature to you.
Machine learning depth: A genuine understanding of classical ML, statistical methods, time-series modeling, and predictive systems. Hands-on experience with libraries like Scikit-learn, PyTorch, or MLflow is a plus; familiarity with Apache Spark is a bonus.
AI-native mindset: You use GenAI tools to build things, not just to ask questions. Show us what you've already shipped.
Energy domain curiosity: Knowledge of transmission grid operations or electricity markets is a plus – but your drive to learn matters more.
Above all, we value curiosity, agency, and a growth mindset. If you're the kind of person who gets energized by hard problems and wants your work to matter, we'd love to hear from you.
What we offer
Unique industry access – an immersive, behind-the-scenes look at Switzerland's electricity infrastructure and the challenges of building the grid of the future.
Meaningful work – varied and exciting tasks within a company unique to Switzerland., with real ownership from the start.
Flexibility – flexible working hours as part of a motivated, welcoming team.
25 days of holiday, plus company holidays between Christmas and New Year.
A modern workplace in the immediate vicinity of Aarau, with a state-of-the-art technical environment.
Your Contact
Corina Wieland
Talent Acquisition
If you are interested, Corina will be pleased to receive your complete application documents. Please apply online via our career portal.