Working Student – Data Science & Energy System Modeling (all genders)

Your Tasks

Work on real-world energy systems – not toy problems. You’ll help us build and improve a cloud-based platform that optimizes how energy is produced, stored, and used.

• Model energy systems: Build and refine models of energy systems – from structured analyses to advanced simulations using optimization and time-series approaches
• Turn data into decisions: Clean, explore, and analyze real-world energy data to uncover patterns and support product and business decisions
• Apply machine learning where it matters: Develop and test models for forecasting, classification, or anomaly detection in real-world applications
• Build & ship: Contribute to our cloud-based tools and data pipelines – from first prototype to production-ready solutions
• Work across disciplines: Collaborate closely with product and business teams, bringing in your technical perspective
• Take ownership: Work on open-ended problems, structure your approach, and help move the team forward with your insights

Your Profile

• You’re currently enrolled in a technical field (e.g. data science, computer science, engineering, physics, mathematics) – or bring comparable skills from other paths
• You have solid Python skills and feel comfortable working with data (e.g. pandas, NumPy, scikit-learn or similar)
• You’re interested in (or have first experience with) modeling, simulation, or optimization – especially in energy systems
• You understand the basics of machine learning and how models are built, evaluated, and improved
• You enjoy working with real-world data – including messy datasets and imperfect information
• You’re curious about the energy domain and how systems like electricity markets, renewables, or storage work
• Experience with cloud tools, APIs, or Git is a plus – but not required
• You work in a structured, self-driven way and are comfortable figuring things out as you go
• You communicate well in English (German is a plus, not a requirement)

Why Us?

• Real impact: Your work directly affects how energy systems are optimized in practice
• Technical depth: Work on complex, meaningful problems at the intersection of energy, data science, and software
• Ownership from day one: You’re not just supporting – you’re building and shaping parts of the product
• Learn fast: Close collaboration with experienced team members and direct feedback loops
• Flexible setup: Working hours that fit your studies

About Us

EnopAI ist ein Software-Startup, das aus der Rudolf Hörmann GmbH & Co. KG hervorgegangen ist. Wir unterstützen führende EMS-Integratoren und Hardware-Anbieter mit Cloud-to-Cloud „Optimization-as-a-Service“ und vernetzen lokale Steuerungssysteme nahtlos mit unserer KI-Engine.

Unsere Echtzeit-Plattform verarbeitet Live-Datenströme, von Photovoltaik und Batteriespeichern bis hin zu E-Ladesäulen und BHKWs, und optimiert sofort sämtliche Parameter, um Kosten und CO2-Emissionen zu senken. Erprobt am Produktionsstandort von Hörmann sowie bei einem wachsenden Netzwerk industrieller Partner, liefert EnopAI messbare Stabilität, Einsparungen und einen effizienteren Weg durch die europäische Energiewende.

Wir laden engagierte Talente ein, mit uns an der Spitze der Energieinnovation zu arbeiten. Bei uns trägt jede Zeile Code direkt zum Ausbau sauberer Energie in Europa bei.