BOUT THE SAP INTERNSHIP EXPERIENCE PROGRAM:

The SAP Internship Experience Program is SAP’s global, strategic, paid internship program that provides university students with opportunities to find purpose in their careers.

WHO YOU ARE:

You are a student (f/m/d) at a university or a university of applied sciences. We’re looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

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• ducational Background: Degree in computer science, engineering, data science, or a related technical field.F
• luent in English and German (mandatory).D
• ata Analysis Skills: Strong analytical skills with the ability to conduct large-scale data analysis, identify trends, and make recommendations for performance improvements.

Visit our Careers Page for more information on the program.
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.
Note for Germany: currently the SAP Internship Experience Program is only open to interns and being hired into other contract types such as working students will preclude the candidate’s participation in the program.

Internship #Praktikum #SAPiXp #Thesis #Germany #Deutschland #Student #SAPGermanStudentsCareers #SAPNextGen

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WHAT YOU’LL DO:

Position title: SAP iXp Intern (f/m/d) – Data Scientist
Work Area: Software-Design and DevelopmentL
ocation: Munich (No office presence necessary)
Expected start date: 1st of October, 2025

IN THIS ROLE, YOU’LL:

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• onduct large scale data analysis on performance tests automation metrics, identifying patterns and bottlenecks that can inform development priorities and strategies with a focus on S/4HANA

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he ideal candidate will have a background in performance observability, and data analysis. This role requires proficiency in using Data Analysis tools and programming