Student for master's thesis AI within IT Aftersales

Are you a tech-savvy individual with a passion for software engineering and data? Do you want to gather hands-on experience at a globally renowned company that is pushing the boundaries of automotive innovation? Would you like to be the catalyst for new ideas and innovations, driving them all the way to the highway? Then join our After-Sales IT department at Mercedes-Benz!

Who we are and what we do :

We in the Team Data, Analytics & AI aim to put our customers at the center of our work. Currently, we are developing the next generation of our global parts pricing system in the cloud to natively integrate automation and data-driven decision-making processes. To that end, we are building data products through connecting various data sources as well as building state of the art cloud-based data processing pipelines. Furthermore, by harnessing data from our global workshop network, we continuously improve our customers' service experience, make strategic business decisions, and effectively steer various After-Sales processes. To make this happen, we work in self-organized, interdisciplinary, and agile teams with IT and business colleagues.

Things you will do during your Master Thesis :

Design and implementation of a framework using agent-based AI approaches to research into pricing methodologies

Research on Generative AI, e.g., agentic workflows, chain-of-thought approaches, retrieval-augmented generation (RAG), and prompt engineering applied to the domain of pricing strategy

Utilize Agentic AI and data-driven methods to enhance pricing strategies

Collaborate with cross-functional teams to define data requirements and ensure data quality

Bring in your own ideas into the design of new or improved data products and transform them into end-to-end proof-of-concept solutions in the cloud

Organize communication with our stakeholders and support the documentation of our data products

Support with the management, maintenance and requirements engineering of our applications as well as create and enhance communication material

Skills you will develop depending on your interests :

Data Analysis Skills : Through collaboration with cross-functional teams to define data requirements, you'll sharpen your ability to evaluate and interpret complex datasets

Problem-Solving Abilities : By monitoring, troubleshooting, and resolving data processing issues, you'll develop a keen eye for identifying problems and formulating effective solutions

Product Development Expertise : As you contribute to and support our product teams, you'll grow your understanding of product lifecycle management, from design and development to testing and deployment

Understanding of Data Mesh Principles : Embracing data mesh principles will allow you to gain insights into data governance, data quality assurance, and data exchange procedures, enhancing your overall knowledge of data management

Innovation and Creativity : By bringing in your own ideas and transforming them into end-to-end proof-of-concept solutions, you'll cultivate your creative thinking and innovation skills, crucial in the field of data and software product development

Cloud Computing Competencies : Developing proof-of-concept solutions in the cloud will help you gain experience in cloud environments and services, an essential skill in today's digital landscape

Technical Writing Proficiency : Contributing to comprehensive, easy-to-follow technical documentation will develop your technical communication skills, aiding you in clearly conveying complex information

The activity for the thesis can begin from November 5.

Studies in the field of computer science, Information Technology, or a related field with a focus on data or software engineering (you must be enrolled as a student at least until the last planned day of your internship)

Experience with one or more programming and scripting languages (Python and SQL are of advantage, Go is a nice-to-have)

Communication and interpersonal skills, with the ability to work well in a team as well as independently

It helps if you are interested / have some background in :

Knowledge of software development principles

Interest inAI technologies, including LLMs, RAGs, and Agents (e.g., LangChain).

Data modelling, schema design, and data normalization techniques

Experience with cloud platforms such as Amazon Web Services (AWS) or Microsoft Azure

Understanding of cloud-based storage (e.g., S3, Azure Data Lake) and big data processing technologies (e.g., AWS Glue, Azure Data Factory, Databricks) for scalable and efficient data workflows

First experience with agile frameworks like Scrum and knowledge of data mesh principles

The final thesis selection is made in close consultation with you, the university and us.

Additional information :

Please find the criteria of employment .

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

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