Thesis Student

**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 aim of this work is to lay the foundations for the development of an AI-based prototype. To create a solid foundation for later programming, we assume that we need to interview five clients from different industries about their approach to determining the appropriate eligible screening-scope. We currently assume that the target solution will function in the same way as a robo-advisor. In other words, we assume that the determination of the eligible scope will be a semi-automated process.

By better understanding customers' target processes, we believe we will be able to identify the data sources necessary to determine the appropriate screening scope as a prerequisite for democratizing the EU taxonomy. These sources will then be the target object for examining the design principles for the already mentioned semi-automated AI prototype (robo-advisor).

Since the derivation of design principles is initially a theoretical exercise, we expect a student who is interested in developing and conducting standardized interviews, supported by technical solutions such as MaxQDA for storing and evaluating the standardized interviews. Since this is an innovation topic related to artificial intelligence, technical knowledge of AI is also important for conducting the interviews and subsequently deriving the IT design principles.

We therefore want to carry out a master's thesis with the aim of analyzing existing customer processes and the data sources used, then evaluating the database to be able to derive the IT design principles. The thesis then concludes with a first IT prototype, presented as a mock-up solution.

It is intended to then publish the master's thesis in a scientific journal together with the master student. The publication has no influence on the grades.

**What you bring**

Work Area: Consulting and Professional Services

Location: Any SAP Location in Germany

Expected start date: ASAP

Min employment duration: 3 months
- Student (f/m/d) at a university or a university of applied sciences
- Preferred fields of study:

- Computer Science, IT, AI Engineering, or related field
- Knowledgeable in methodical work, especially in relation to expert interviews
- Computer skills:

- Natural Language Processing (NLP); Chat-Bot; Large Language Models
- IT Design and IT Architecture (technical & functional)
- Language skills:

- German - native or at least fluently
- English - fluently or native
- Practical experience with corporate customers and/or basic knowledge regarding EU Taxonomy desirable

**Where you belong**

The EU Commission aims to make Europe the world’s first climate-neutral continent by 2050. To support this transition, the EU Taxonomy was introduced as a regulatory framework to distinguish sustainable from non-sustainable economic activities. Starting in 2025, approximately 50,000 companies will be required to report the proportion of their business activities, CAPEX, OPEX, and revenues that are Taxonomy-compliant.

A key bottleneck in this reporting process is the identification and screening of eligible business activities—a process that is currently manual, resource-intensive, and prone to inconsistency. This complexity not only risks creating an unfair advantage for large, homogenous businesses but also undermines the EU’s goal of a fair and democratic green transition.

The aim of the thesis is to prepare and conduct expert interviews with five selected SAP customers to derive design principles for an AI-based prototype from the customer's specific requirements.- This is a SAP global, strategic, paid working student position that provides students with opportunities to find purpose in their careers._
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**Bring out your best**

**We win with inclusion**
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

**AI Usage in the Recruitment Process**

For information on the responsible use of AI in our recruitment process, please refer to our Guide