Student trainee in the field of Data Science and Advanced Analytics for energy plants
As BEW Berliner Energie und Wärme GmbH, we supply our customers with electricity and heat. Our district heating network, with a length of more than 2,000 kilometers, is the largest in Western Europe. We supply approximately one-third of Berlin's apartments with district heating.
With the expertise of our approximately 2,400 employees, we cover the entire district heating value chain – from generation and network operation and expansion to distribution. At the same time, we are working intensively on phasing out coal by 2030 and achieving climate-neutral* heat generation from 2045 onwards.
To achieve this goal, we will gradually increase the share of renewable energies and unavoidable waste heat** in our district heating system. This expansion requires a fundamental transformation of many of our sites and facilities. For this challenge and the associated tasks, we need people who are fully committed to our shared goal of a local energy transition – people like you.
BEW Berliner Energie und Wärme GmbH is looking for a working student in the field of Data Science and Advanced Analytics for energy plants at the Berlin location as soon as possible .Develop the technical monitoring of tomorrow with us!
The Monitoring Performance and Technology department combines engineering expertise in plant engineering with data-driven analysis methods. Our goal is to systematically transform technical data into reliable, actionable knowledge, thereby enabling early risk identification, ensuring plant availability, and leveraging optimization potential.
In addition to operating existing monitoring systems, we want to practically test new methods, technologies, and ways of working. These include, for example, Python-based analysis models, automated data validation, anomaly detection, data-driven condition assessment, technical optimization models, and, in the future, AI-supported applications. The strategic development also aims for better-integrated data sources, a central asset intelligence hub, and standardized, traceable processes.
Your tasks
- You will support the research, evaluation and practical testing of new monitoring and analysis methods for energy generation and district heating.
- You prepare operational and condition data for analysis and model development and examine different data and information sources.
- Together with the team, you will develop data analysis and monitoring prototypes, e.g. using Python, SQL, Power BI or similar tools.
- You will contribute to the development and testing of methods for early anomaly and fault detection, condition and degradation assessment, as well as performance and efficiency analyses.
- You investigate how AI and data-driven models can be used for technical analysis, forecasting, and decision support.
- You compare new methodological approaches with regard to their validity, data requirements, interpretability, robustness and practical feasibility.
- You will develop demonstrators and prototype solutions and contribute to their integration into monitoring, dashboards and existing workflows.
- You document and present procedures, results and findings in an understandable way and support the professional exchange with internal and external partners.
What to expect
- Real-world technical applications at the interface of energy technology, data science, and digitalization.
- Freedom for methodological testing without losing sight of practical benefits.
- Access to operational data, technical issues and the experiential knowledge of the monitoring team within the permissible limits.
- The opportunity to co-develop a permanently usable monitoring approach from a prototype.
- Collaboration with experts from plant operation, maintenance, engineering, data management, IT and analytics.
- Possible starting points for a later study or thesis, depending on the topic and suitability for the company.
Your profile
- You are a registered student, preferably in one of the following fields of study:
- Data Science
- Computer science
- Computational Engineering
- Energy and process technology
- Process engineering
- Electrical engineering
- Automation technology
- Mathematics or physics
- Industrial engineering with a specialization in technical or data analysis
- or a comparable field of study.
- You are interested in not only considering new methods theoretically, but also in testing them practically using real technical problems.
- You have some initial programming experience, preferably with Python.
- Ideally, you have knowledge in some of the following areas:
- pandas, NumPy, SciPy or scikit-learn
- Time series analysis
- statistical modeling
- Machine Learning
- Data visualization
- SQL and databases
- Git or Azure DevOps
- Databricks or similar analytics platforms
- Power BI
- OSIsoft or AVEVA PI System
- thermodynamic or physical modeling.
- You possess a good mathematical and technical understanding and can critically question analysis results.
- You proceed methodically and document the data basis, assumptions, model logic, validation and limitations of your results in a comprehensible manner.
- You enjoy independently learning about new topics, tools, and technical processes.
- You can present complex issues in an understandable way and enjoy working with different disciplines.
- Excellent German skills, both written and spoken (at least C1 level), are required. Good English skills are an advantage.
- Knowledge of power plant processes, energy facilities or district heating systems is helpful, but not a mandatory requirement.
- You have at least 6 months available and can support us with at least 20 hours per week.
Your benefits
- Flexible organization of your workday with the option to work from home.
- All necessary technical equipment will of course be provided to you.
- Individual development and building of your professional network
- Improved career opportunities after completing studies
- Organic company restaurant as well as free drinks (water, tea, coffee) and fruit at almost all locations.
- Various health-related services, e.g., support from PME Family Service
Your application
We look forward to receiving your application! Please send us your complete application documents in German and in PDF format (especially a cover letter , a complete CV and a current certificate of enrollment ) by November 11, 2026 at the latest !
For further information about this position, please contact the hiring manager, Tatiana van Tilburg Londono, at tatiana.vantilburglondono@bew.berlin . For questions regarding the application process, please contact the responsible recruiter, Shawn Sieber, at shawnphilipp.sieber@bew.berlin .
Are you interested in our offer and would like to help us shape Berlin's energy transition? Then we look forward to receiving your application via our careers page!
Notes
We are convinced that diversity contributes to making our company more efficient and attractive. Applications from people of all ages, gender identities, sexual orientations, and ethnic and cultural backgrounds are warmly welcomed. Applicants with disabilities will be given special consideration if they possess equal professional qualifications.
The safety of BEW and its employees is of paramount importance. For this reason, pre-employment screening is part of the recruitment process. The scope of the screening varies depending on the role and area of responsibility. The screening is conducted by a third-party provider, Signum Consulting GmbH, DISA.
- By this we mean a heat supply from renewable energies, from unavoidable waste heat, or a combination of both, as defined in Section 31 in conjunction with Section 3, Paragraph 1, Numbers 13 and 15, and Paragraph 4 of the Heat Planning Act (WPG). We intend to achieve this goal through a series of measures, which we outline in our decarbonization roadmap.
** Within the meaning of Section 3 Paragraph 1 No. 13 or Paragraph 4 of the Heat Planning Act (WPG).