You work on the further development of an AI-supported categorization model for the automated classification of transactions.
You integrate the model into a modern big-data and microservice architecture and support its productive use in the system.
You ensure the quality, maintainability and stability of the solution through test automation, structured documentation and support.
You contribute to the optimization of data processing and machine learning models and bring your own ideas.
You work independently in an agile team and actively shape your tasks according to your skills and interests.

Requirements

You are studying (business) computer science, Data Science or a comparable field and have completed at least three semesters of your bachelor's degree.
You have solid knowledge of software development and experience with Python and SQL, ideally complemented by initial experience with Java.
Ideally, you have already worked with technologies such as Jupyter, Databricks, PySpark or machine learning frameworks.
You work analytically, in a structured and independent way and enjoy diving into complex technical questions.
You feel comfortable in an agile, interdisciplinary environment, enjoy teamwork and actively exchange ideas with developers and business analysts.
You are happy to be on site at the Karlsruhe location and appreciate collaborating on our modern campus.
You have business-fluent German (at least C1) and good English skills (B2).

Benefits

Practical experience: With us you have the opportunity to gain hands-on experience through varied tasks in your preferred field and to work on real projects.
Mentoring and support: Experienced student mentors will accompany and support you throughout your assignment. They coordinate technical onboarding and provide regular feedback.
Flexible working: We value a good work–life balance. We offer flexible working time models and a balanced hybrid mix of remote work and presence in modern office spaces to support the optimal compatibility of work and study.
Networking events: You can network with other students and employees at regular meetups and events both during work hours and after work — make friends at the foosball table and during Nintendo Switch breaks, or gain exclusive insights into other companies within the financial group.
Discounts and additional benefits: Enjoy attractive offers such as subsidised lunches in our staff restaurants, sports groups and other corporate benefits.
Career development and training: Develop professionally, methodically and personally through your varied tasks and our wide range of seminars.
Theses and internships: We support you in finding topics and completing your thesis. You can also apply to us for (mandatory) internships.
Sustainability and accessibility: Our barrier-free locations have good transport connections and are easily reachable by public transport. Bicycle parking and parking spaces with charging stations are available across the site.
Our corporate values: Respectful, open and honest, responsible, supportive and results-oriented — guided by team spirit and a drive for innovation and intensive knowledge sharing.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLJavatest automationdata processingmachine learningcategorization modelbig-data architecturemicroservice architecturestructured documentation

Soft Skills

analytical thinkingstructured workindependenceteamworkcommunicationcollaborationproblem-solvingadaptabilityinitiativeinterdisciplinary cooperation