SAP CS&D iXp Intern (f/m/d)- CEA MEE - Data Science and AI Automation

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What You’ll Build

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. This is more than an internship; it’s the foundation for a career built on connection, creativity, and impact.

Position title: SAP CS&D iXp Intern (f/m/d)– CEA MEE – Data Science and AI Automation
Location: Walldorf

• Assist in collecting, processing, and analyzing large datasets to generate actionable insights.
• Support the development of business intelligence dashboards and reports.
• Perform exploratory data analysis to identify trends and patterns.
• Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
• Document and communicate findings to stakeholders in a clear and concise manner.
• Support ad-hoc tasks and special activities on demand.

What You’ll Bring

We’re looking for someone who takes the initiative, perseveres, and stays curious. You like to work on meaningful innovative projects and are energized by lifelong learning.

• Currently enrolled in a Bachelor's program in Data Science, Business Analytics, Statistics, Computer Science, or a related field. In exaptational cases just finished high school.
• Experianced in programming languages such as Python
• Understanding of statistical analysis and data mining techniques.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Knowledge of machine learning algorithms and their applications.
• Strong communication skills, both written and verbal.
• Soft skills: the ability to work in a global team with a multicultural nature, creative, focus on quality and results, open personality, and professional communication style, proactive
• Working from Walldorf office is required

Where You Belong

Be part of SAP Next Gen, a global community for students, universities, schools and educational partners, who are passionate about innovation and technology.

• Culture of Collaboration: Partner with experienced SAP colleagues and expert mentors who will support your growth. Grow professionally through personalized mentoring, coaching, and career development support.
• Project-driven Experience: Kickstart your career with hands-on learning experience, making an impact from day one by contributing to meaningful projects that help the world run better. You’ll have endless learning resources at your fingertips and gain future-ready skills from a variety of virtual, in-person, and hybrid learning sessions, cultivated just for you, and aligned with our learning approach.
• Gain Visibility: Build relationships with leaders and peers across teams and functions. Showcase your ideas, skills, and creativity in a global, fast-paced environment. Open doors for future career opportunities within SAP and beyond.

The Customer Engagement Advisory (CEA) team delivers advisory to customers directly or through their related front roles to drive foundational technical adoption of our solutions. Our ultimate objective is to continuously improve customer satisfaction, foster their success in the cloud, and help them become intelligent enterprises. We connect and build the bridge bringing our customers and their front roles together with other relevant units within SAP, advising them to close gaps in knowledge, acting as experts, partners, and coaches.

• Support the team members and customer-facing roles (e.g., Account Managers, Technical Quality Managers, Enterprise Architects) within their customer engagements with operational tasks
• Assist in the preparation of internal and external presentations, reports, and meetings
• Perform research, data analysis, and documentation to support decision-making
• Help coordinate communications and information flow within the Customer Engagement Advisory team and with stakeholders across regions
• Contribute to ongoing strategic initiatives (e.g., process optimization, data quality improvements, tool development)