Internship Energy Modeling & Optimization (m/f/d)
1KOMMA5°
As a motivated intern to join our Data Science & Optimization team, you'll play a crucial role in our cross-functional team, focusing on data-driven solutions in the energy sector. You'll be contributing to cutting-edge energy market modeling, development of flexibility and optimization models, extending simulation frameworks, and gaining deep insights into the energy industry. Your work will directly impact our products and services, helping to accelerate the energy transition.
Become a part of our mission and learn about our Product & Tech team!
Your mission
Join our Heartbeat Tech team and help shape the future of clean energy. As an Intern in the Data Science & Optimization team, you'll tackle real-world challenges in energy market modeling and the optimization of distributed energy systems. This is your chance to work hands-on with advanced simulation tools, forecasting models, and algorithms that drive our Heartbeat Energy Management System—making a direct contribution to the energy transition.
- Collaborate on designing flexibility models for distributed energy resources
- Collaborate on developing and deploying optimization algorithms for energy market participation including day-ahead, intraday, and balancing services
- Support on identifying improvements on current optimization algorithms
- Extend and enhance our existing simulation framework
- Conduct comprehensive simulation studies and performance analysis
- Create dashboards in Looker to monitor the performance of the Energy Management
- Collaborate with data scientists, product managers, engineers, and other stakeholders to solve complex problems in the energy sector
Your profile
The successful candidate will have:
- You are currently pursuing or recently completed studies in Engineering, Mathematics, Physics, or related field
- You are familiar with core Optimization algorithms (LP, MILP) and mathematical modeling
- You applied your Optimization knowledge in projects either in industry or academia
- You have experience working with at least one of the optimization modeling frameworks such as Pyomo, AMPL, GAMS, or similar tools
- You have experience working in Python
- You enjoy problem-solving, analyzing data, and deriving insights
- You enjoy writing clean, maintainable, and reusable code that's easy to test
- You have a strong interest in the energy sector and sustainability
- You have a team-oriented mindset and value close collaboration with your teammates
- You have strong communication skills in English; German is a plus Preferred Qualifications, but not mandatory:
- You have experience working with SQL
- You have experience modeling energy systems
- Experience in working in agile environments
- Experience with data visualization tools (e.g., Looker)
- Experience with data analysis libraries (e.g., pandas, numpy, scikit-learn)
- Knowledge of energy markets and renewable energy systems
- Familiarity with cloud platforms, preferably Google Cloud Platform
Benefits
- You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen
- With your work, you accelerate the "energy transition" and hence have a direct impact on our climate
- Work with and learn from other super-smart colleagues
- You will enjoy direct contact with core decision-makers
- You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups
- You work remotely (Germany-wide), with offices in Hamburg, Berlin or Munich
- Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass
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