Otto Group

Dual study program Data Science & Artificial Intelligence

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Stellenbeschreibung:

Alle Mitarbeiterinnen und Mitarbeiter in jeder der 123 Einzelgesellschaften der Otto Group tragen täglich mit innovativen Ideen dazu bei, uns unserem gemeinsamen Ziel näher zu bringen: in allen Bereichen Best in Class zu werden.

Start your dual study program!

In the age of big data, data analysis is becoming increasingly important in business and society.

It is becoming increasingly important to collect the immense amount of data in as targeted a manner as possible. This data needs to be organized, evaluated, and visualized using various methods and the resulting findings need to be integrated into the corporate context. Artificial intelligence is essentially dependent on the corresponding data basis.

Your entry into the professional world - with a dual study program at Baur Hermes Fulfilment

Was Dich erwartet:

  • You will learn how to handle and interpret large amounts of data during your studies and practical semesters
  • In addition to managing information, deriving recommendations for action for business processes also plays an important role

Was Du mitbringen solltest:

  • High school diploma or technical diploma
  • High motivation
  • Analytical skills
  • Very good written and spoken German
  • Good general education
  • Enthusiasm for IT

Was wir Dir bieten:

Areas of application:

  • Business Applications
  • Logistic Applications
  • Infrastructure
  • BI & Analytics
  • User Research

Duration of training:

3 years (with alternating 3-month theoretical and practical phases)

Vocational school/university location:

Baden-Württemberg Cooperative State University Ravensburg

Bitte bewerbe Dich schriftlich bzw. per E-Mail auf diese Ausschreibung.

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NOTE / HINWEIS:
EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Veröffentlichungsdatum:

    09 Mär 2026
  • Standort:

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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