Working student (m/f/d) Data Science / Machine Learning Credit Card
Financial Products
München
Summary
Student
Parttime
Working student
About this job
CHECK24 is Germany's largest comparison portal and a dynamic start-up in one. In small, agile teams, we work on more than 50 products every day to make life easier for over 15 million customers: We create transparency, make complex products easily understandable, and help consumers save time and money.We are looking for a highly motivated Working student (m/f/d) Data Science / Machine Learning Credit Card to join our team at CHECK24 Vergleichsportal Karten & Konten GmbH in Munich.
As a working student, you will have the opportunity to gain practical experience while contributing to the development of recommender systems and ranking topics in the Fintech area.
Your Qualifications
- Currently enrolled in a relevant course of study (computer science, informatics, mathematics, statistics or a similar field)
- Based in Munich area for in-person learning
- Experience with Large Language Models based solutions for information extraction purposes
- Hands-on approach to latest and established methods and strong problem-solving and analytical skills
- Demonstrated variety of portfolio projects using LLMs
- Interested in recommender systems and ranking problems (experience not mandatory)
- Good understanding of basic Data Science concepts
- Proficient in Python and familiar with main Data Science and Machine Learning libraries
- Fluency in English (minimum C1)
Your Responsibilities
- Experimentation with various approaches that utilize LLMs for extracting information from documents
- Exploring latest academic research on the topics of recommender systems (for example Graph Neural Networks, Large Language Models) with the focus on code implementation in Python
- Assist in the design and implementation of machine learning algorithms to enhance our ranking/recommender engine performance
- Support the development and deployment of microservices using FastAPI, Docker, and machine learning libraries
- Contribute to ensuring interpretable and explainable solutions
- Collaborate with the team to monitor and evaluate model performance, implementing necessary adjustments and improvements
Your Benefits
- Enjoy the dynamic of a start-up flair combined with the security of an established online company
- Prepare for your professional life by combining theory with relevant practice
- Benefit from the opportunity to collaborate and network with experienced Data Scientists
- Flexible working hours to accommodate your studies
- We like to celebrate successes together at numerous events
- Catering three times a week with warm lunch. In addition, we provide you with free drinks, fresh fruit and cereals for breakfast
Contact
![Lilly Jacobs](/media/images/Jacobs_Lilly.2e16d0ba.fill-200x200.png)