Thesis Student (fmd) Unleash the potential of conversational AI to democratize the EU-Taxonomy

SAP; Berlin; Hybrid; EUR 40.000 - 60.000; Vollzeit

Zusammenfassung

A leading tech company offers a master's thesis opportunity for students interested in AI. Responsibilities include conducting expert interviews to derive design principles for an AI prototype related to the EU Taxonomy. Candidates should be in Computer Science, IT, or a related field, and possess skills in NLP and methodical work. The position allows for hybrid work and includes comprehensive support for student wellbeing, making it an ideal environment for skill growth.

Leistungen

Constant learning opportunities

Skill growth

Comprehensive wellbeing support

Qualifikationen

• Students must have practical experience or knowledge of the EU Taxonomy.
• Fluent in German and English.
• Candidates should have experience conducting expert interviews.

Aufgaben

• Conduct expert interviews with SAP customers to gather requirements.
• Analyze customer processes and derive IT design principles.
• Develop a first IT prototype based on the findings.

Kenntnisse

Natural Language Processing (NLP)

Chat-Bot

Large Language Models

Methodical work

IT Design and IT Architecture

Ausbildung

Student at a university or university of applied sciences

Field of study: Computer Science, IT, AI, Engineering

Jobbeschreibung

We help the world run better

At SAP we keep it simple: you bring your best to us and we bring out the best in you. We are 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 … (the same as a 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. Those 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 analysing 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

• 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 – fluent; English – fluent
• 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 risks creating an unfair advantage for large homogeneous businesses and 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 customers’ specific requirements.

Application documents

Your set of application documents should contain a cover letter, a resume, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned and, if available, references from former employers (including internships). Please also describe your experience and skills in foreign languages and computer programs / programming languages.

Work details

• Location: Any SAP location in Germany
• Expected start date: ASAP
• Minimum employment duration: 3 months
• Employment type: Limited full‑time working student
• Travel: 0–10 %
• Additional details: Hybrid working model

Benefits

This is a SAP global strategic paid working student position that provides students with opportunities to find purpose in their careers. Benefits include constant learning, skill growth, and comprehensive support for wellbeing.

We win with inclusion

SAP’s culture of inclusion focuses on health and wellbeing and flexible working models to ensure that everyone, regardless of background, feels included and can run at their best. SAP believes it is stronger because of the unique capabilities and qualities that each person brings, and invests in employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

Equal Employment Opportunity

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AI Usage in the Recruitment Process

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