Job
In this position, you assist in analyzing operational data for energy generation, develop prototypes using Python and SQL, and test new methods for anomaly and error detection, as well as data visualization.
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Job technologies
Your role in the team
- You 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 analyses and model development, and investigate various data and information sources.
- Together with the team, you develop data analysis and monitoring prototypes, for example using Python, SQL, Power BI, or comparable tools.
- You will contribute to the development and testing of methods for early anomaly and fault detection, condition and degradation assessment, and performance and efficiency analyses.
- You investigate how AI and data-driven models can be used for technical analyses, forecasts, and decision support.
- You compare new methodological approaches in terms of their validity, data requirements, interpretability, robustness, and practical feasibility.
- You develop demonstrators and prototype solutions and contribute to integrating them into monitoring, dashboards, and existing workflows.
- You document and present approaches, results, and insights clearly, and support professional exchange with internal and external partners.
Our expectations of you
Qualifications
- You are an enrolled student, preferably in one of the following fields: data science, computer science, computational engineering, energy and process engineering, chemical engineering, electrical engineering, automation engineering, mathematics or physics, industrial engineering with a focus on engineering or data analytics, or a comparable field.
- You’re interested in not only exploring new methods in theory, but also putting them to the test in practice using real-world technical challenges.
- 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 comparable analytics platforms, Power BI, OSIsoft or AVEVA PI System, thermodynamic or physical modeling.
- You have a strong understanding of mathematics and technology and can critically evaluate analytical results.
- You take a methodical approach and clearly document the data basis, assumptions, model logic, validation, and limitations of your results.
- You enjoy independently familiarizing yourself with new topics, tools, and technical processes.
- You can explain complex topics clearly and enjoy working with different disciplines.
- Very good written and spoken German skills, 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 essential.
Experience
- You have some initial programming experience, preferably with Python.
What we offer
- You have at least 6 months available and can support us for at least 20 hours per week.
- Flexible organization of your working day, with the option to work from home.
- The necessary technical equipment will of course be provided.
- Personal development and building your professional network.
- Improved career prospects after completing your degree.
- Organic company restaurant, as well as complimentary drinks (water, tea, coffee) and fruit at almost all locations.
- Various health-related benefits, e.g. support from PME Familienservice.
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
BEW Berliner Energie und Wärme GmbH is an established company in the energy supply sector, providing the capital Berlin with climate-friendly heat and electricity. With a district heating network spanning over 2,000 kilometers, it is the largest of its kind in Western Europe.
- Established Company
- Hybrid, Onsite
- Power Sector, Economy
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