Vor 10 Tagen

Work&Study as a working student in data science

LEW Verteilnetz GmbH

LEW Verteilnetz GmbH

Energiewirtschaft

  • Augsburg
  • Studierende
Vor Ort

Work&Study as a working student in data science

  • LEW Verteilnetz GmbH
  • 86150 Augsburg, Augsburg-Innenstadt, Germany
  • 09/05/2024
Full time Data Science Big Data Statistics Biostatistics Data Warehouse

Job Description

The LEW Group operates as a regional energy supplier in southwest Bavaria and employs around 1,900 people. The LEW Group operates the electricity distribution network in the region and, with 36 operational hydroelectric power plants, is one of the leading producers of environmentally friendly hydroelectric energy in Bavaria. LEW also offers various products and services in the areas of network and plant construction, energy generation, electromobility and telecommunications.

That's exactly what it's about

You would like to gain practical experience at the LEW Group for the duration of your bachelor's degree and be involved in various projects, tasks and daily business. Does an internal LEW group rotation based on your potential and interests sound exciting to you? Then tasks like these await you:

  • You are interested in big data in the energy sector and would like to derive structures and connections
  • You develop concepts for data governance and are a fan of order and cleanliness in the data jungle
  • You develop clever, smart and digital ideas around the topic of data and integrate them into our workflows You support us in transforming our IT landscape with regard to data science and the latest cloud technologies (Microsoft Azure)

That's what we want

  • You are enrolled in the data science course at the university and are interested in digitizing and automating data
  • Large amounts of data don't upset you - on the contrary: you are enthusiastic about numbers and with your analytical skills and your strong affinity for key figures it is easy for you to translate complex inquiries from a wide range of specialist areas into data solutions
  • As a reliable colleague, it is natural for you to take responsibility for your topics and to master the balancing act between work and studies with motivation

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