Master's Thesis Intern

vor 4 Wochen

Sankt LeonRot, Baden-Württemberg, Deutschland SAP Vollzeit

Join SAP in Shaping the Future

At SAP, we empower you to excel. Our culture emphasizes collaboration and a shared commitment to enhancing the world. We focus on building a foundation for tomorrow, fostering a workplace that values diversity, flexibility, and a purpose-driven approach. Our environment promotes teamwork, individual recognition, and a variety of benefits tailored to your needs.

Your Role

As a thesis intern (f/m/d), you will identify an analytical business case and implement it using SAP technologies within the realms of Artificial Intelligence and Machine Learning, alongside SAP BW/4 and/or SAP Datasphere integrated with SAP HANA.

During your six-month tenure, you will explore various implementation strategies for SAP machine learning technologies and develop a concept aimed at enhancing a core data transformation process. Collaborating with a team of business professionals in Business Intelligence and Data Warehousing, you will have the unique opportunity to execute a proof of concept based on a realistic business scenario.

A team member will guide you through the topic, providing support throughout your thesis and introducing you to the available products and testing environments. This research opportunity allows you to delve into SAP's business software ecosystem, modern Analytics, Data Management Solutions, and cutting-edge machine learning technologies.

This thesis may also pave the way for you to begin your professional career in the same department.

What You Bring

We are looking for a thesis intern (f/m/d) who is nearing completion of a master's program in computer science or a related field, with a keen interest in technical details. You should possess basic knowledge of database systems and, ideally, some experience in data analysis, along with a foundational understanding of AI/ML technologies. SAP offers a wide range of products and services in analytics and data management, and you should be able to quickly adapt to the methodologies and connect the dots using SAP Datasphere, SAP Analytics Cloud, HANA Database, and the AI and ML capabilities of SAP's Business Technology Platform.

  • Currently enrolled as a student (f/m/d) at a university or university of applied sciences
  • Preferred fields of study: Computer Science, Informatics, Information Systems, Mathematics, or similar
  • Computer skills: basic knowledge of SAP software, SQL, and programming languages commonly used at SAP (ABAP, Java, R, Python, TensorFlow)
  • Language skills: Proficiency in German and English at least at B2 Level
  • Soft skills: Outgoing, communicative, self-reliant, and a team player

Meet Your Team

SAP is one of the largest software companies globally, specializing in business software within a rapidly evolving market. With a commitment to digital transformation, our customers increasingly utilize intelligent technologies and artificial intelligence to enhance their business processes. The demand for high-quality insights from data is growing in a landscape characterized by massive data volume growth. SAP's cloud strategy opens new possibilities to leverage these technologies. The "SAP Center of Expertise for Data and Analytics" is seeking a master's thesis intern (f/m/d) ready to create a business scenario within SAP Datasphere that utilizes AI/ML technology to derive insights from datasets and visualize results in SAP Analytics Cloud.

Application Requirements

Your application should include a cover letter, a resume in table format, school leaving certificates, proof of enrollment, current university transcript, copies of any academic degrees earned, and references from previous employers (including internships, if available). Please also detail your experience and skills in foreign languages and computer programs/programming languages.

Our Commitment to Inclusion

SAP's culture of inclusion, focus on health and well-being, and flexible working models ensure that everyone, regardless of background, feels included and can perform at their best. We believe that our strength lies in the unique capabilities and qualities each individual brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We are dedicated to unleashing all talent and creating a more equitable world.

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