# Praktikum im Bereich Digitalisierung & Künstliche Intelligenz im Aftersales

**Company**: Dr. Ing. h.c. F. Porsche AG
**Location**: Stuttgart-Zuffenhausen
**Work arrangement**: onsite
**Experience**: entry
**Job type**: full-time
**Category**: Engineering
**Industry**: Automotive

**Apply**: https://jobs.porsche.com/index.php?ac=jobad&id=19860
**Canonical**: https://yubhub.co/jobs/job_b0cabc20-8de

## Description

Your job is to support the development of digital and data-driven solutions in the Aftersales department. You will work on analysing large amounts of vehicle data, developing data science solutions, and collaborating with cross-functional teams to drive business outcomes.

As a member of our team, you will be responsible for:

- Supporting the conception and implementation of digitalisation and AI projects in the Aftersales department
- Analysing, preparing, and visualising Aftersales and vehicle data
- Participating in cross-functional analytics and data science projects
- Depending on your skills and experience, you may work on data analytics use cases or take on a personal project
- Preparing and accompanying workshops and meetings with other departments

You will have the opportunity to work on challenging data science and analytics projects with a direct link to vehicle data and AI. You will also have the chance to apply and further develop modern methods from machine learning and data analytics.

We offer a dynamic and supportive work environment, regular exchange with the team, and a steep learning curve in the data science field. Depending on your skills and experience, you may take on a personal project or work on data analytics use cases.

As a member of our team, you will be part of a diverse and inclusive work environment. We value diversity, equality, and inclusion and strive to create a workplace where everyone feels welcome and valued.

We are looking for a motivated and talented individual who is passionate about data science and analytics. If you are interested in working on challenging projects and developing your skills in a dynamic and supportive environment, we encourage you to apply.

## Skills

### Required
- data science
- analytics
- machine learning
- data visualisation
- Python
- R
- SQL

### Nice to have
- data engineering
- data architecture
- cloud computing
- big data