Job Description
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. About 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.Three reasons to intern at SAP: Culture of collaboration: meet with mentors, make new friends across the globe and create a thriving personal network.Project-driven experience: gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.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. About the team:The UACP Development Team is a global development team spread between NA and Europe. We are responsible for building tools and services that enable our UA community to create and manage their product content. We work in the following development stack: Java, Vue, React, Hana Cloud and SAP’ Business Technology Platform (BTP).What you’ll do:Position title: SAP Enterprise Adoption iXp Intern (f/m/d) – Data Science and Analytics InternWork Area: Software-Design and DevelopmentLocation: Walldorf
Responsibilities + Skills
You are a student (f/m/d) at a university or a university of applied sciences. Were looking for someone who takes initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.
Education
Develop prompt engineering best practices and quality workflows improve quality initiatives by applying data science methodologies, designing experiments to measure usage, and apply rigorous analysis to support data driven decisions.Continual refinement of aspects of new AI tools (e.g. refining prompts to get better results, designing new workflows based on user feedback and research).
Experience
