Job
- Level
- Junior
- Job Field
- Data, Application
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you support the development and optimization of time-series forecasting models for decentralized energy management systems and work on data transformation pipelines as well as monitoring and testing processes.
Job Technologies
Your role in the team
- As a Werkstudent or Intern in Data Science Forecasting, you will join our Team to help shape the future of decentralized Energy Management Systems (EMS).
- Your core mission will be supporting the development, training, and testing of our time-series forecasting models (PV generation, household load, heat pump consumption, and EV charging).
- This role offers a unique learning ground: you will get hands-on experience working on data and ML pipelines and projects running in live production.
- You will join us during a period of rapid innovation, gaining the opportunity to actively contribute to our agentic AI workflows aimed at accelerating engineering productivity.
- Key Responsibilities include supporting the team in building, improving, and retraining machine learning forecasting models, actively assisting in monitoring, updating, and troubleshooting forecasting models and pipelines operating in production environments, helping build and maintain robust data transformation pipelines using SQLMesh and BigQuery to pre-process large streams of data, using our internal simulation framework to backtest forecast models and analyze how forecast errors directly impact our high-level EMS optimization yield, assisting in writing, structuring, and testing behaviors for autonomous AI agents to help automate workflows, and helping maintain clean, clear technical documentation in Notion and collaborating with Optimization and Data Engineers during sprint cycles.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Current Studies: Enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Statistics, Mathematics, Physics, or an equivalent quantitative field.
- Solid coding skills in Python and familiarity with core data science libraries (pandas, numpy, scikit-learn).
- Solid theoretical understanding of machine learning principles, statistical analysis, model architectures (e.g., regression, tree-based ensembles), and key evaluation metrics.
- Enthusiastic about troubleshooting data quality bugs and validating model outcomes using quantitative metrics.
- You have a team-oriented mindset, enjoy working in agile environments (such as sprints), and deeply value close, transparent collaboration with your teammates.
- A genuine interest in renewable energy, battery storage systems, smart grids, or electricity markets.
This text has been machine translated. Show original
What we offer
- 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 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.
- Benefits and discounts are yours with Futurebens.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
1KOMMA5° GmbH
1KOMMA5° GmbH, based in Hamburg, is an advanced company specializing in the development and operation of intelligent energy systems. With over 80 locations in Germany and a team of 3,000 employees, the company aims to transition households to CO2-neutral energy and actively promote the energy transition. The AI-based platform Heartbeat enables efficient control in a virtual power plant.
Description
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Power Sector, Economy
Working Student Data Science Forecasting
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
