SAP SAP iXp Intern f/m/d - Configuration Analysis 

Germany, Baden-Württemberg 

939845493

Three reasons to intern at SAP:

1. Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.
2. Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
3. Gain visibility: with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.

What you’ll do:

Expected start date: September 01, 2025

In this role, you’ll:

Your primary responsibilities will include:

• Understanding the current script: Analyze the existing Python program to learn how it generates configuration data using machine learning techniques.
• Data collection and preparation: Work with large-scale SAP system data. This includes cleaning, normalizing and preparing data for machine learning training and testing.
• Model improvement: Optimize the machine learning models used in the script. This could involve exploring different algorithms, such as regression, decision trees or neural networks to boost model performance.
• Automation enhancements: Improve the program’s ability to handle dynamic and regularly updated input data.
• Deployment and evaluation: Assist in deploying the optimized model into production environments to generate configuration data for new SAP system setups.

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.

• Proficiency in Python, with experience in developing or analyzing data-driven scripts and programs.
• Solid understanding of machine learning concepts (e.g., training/testing models, evaluating performance with metrics like accuracy, precision, etc.).
• Experience working with data preprocessing tasks, such as cleaning, normalizing, and splitting datasets for analysis.
• Knowledge of model optimization techniques, such as hyperparameter tuning or selecting appropriate algorithms (e.g., regression, decision trees, neural networks).
• Fluency in English (both written and spoken) to collaborate effectively within a global company.

Visit our 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.

​