Company: PASM Power and Air Condition Solution Management GmbH
Job ID: 229033
Location: Germany : Nordrhein-Westfalen : Bonn
Career level: 02 - Students
Experience required: 0-1 years
Employment type: 03 - Internship
Weekly working hours: 10,00
Amount of travel: 0-25%
Languages required: German; English
Application deadline: 07/26/2024

About us

Flexiship at Telekom. Are you eager to gain practical experience early on despite having a packed study schedule but don't want to exceed the standard study period? A Flexiship is just what you need. The flexible hours enable you to fit in practical experience alongside your studies. 
Find out more about doing a flexiship at https://www.telekom.com/flexikum 

The Smart Energy Management team is driving the data-driven energy transition for Deutsche Telekom - one of the largest electricity consumers in Germany. The focus is on the intelligent linkage of the large energy procurement volume and consumption profile, including energy storage and self-generation, as well as energy efficiency. The goal is to align ecology and economy in the implementation of the energy transition.

Your Tasks

Whether it's a compulsory or voluntary internship - as an flexikant (m/f/d) you will benefit in any case from an attractive remuneration and flexible working hours. You will support the team with the following responsible tasks:

• Work on innovative data science projects focused on energy sector solutions, including the development and optimization of battery energy storage systems (BESS)
• Utilize Python for data analysis, process automation, and model development
• Work with the optimization tool Pyomo for energy management solutions
• Apply AI techniques for forecasting load and renewable energy generation
   

Your Profile

You are studying (Business) Informatics, Industrial Engineering, Energy Technology, or a comparable degree program or are in your gap year. In addition you have the following knowledge and skills: 

• Proficient in Python programming for data manipulation, statistical analysis, and machine learning
• Experience with Pyomo for optimization tasks
• Basic understanding of AI for predictive modeling and neural networks
• Knowledge of the energy industry is a plus, but not mandatory
• Strong English skills (B2+)
• Independent, structured, and responsible work style

Severely disabled applicants with equal qualification will be given particular consideration.

Your contact: Bianca Eugenia Mihalache 
Phone: 069/2193896998 
E-mail: bianca-eugenia.mihalache@telekom.com 

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