Your mission
QuantPi is seeking a motivated Data Science working student to join our Research and Development team. In this role, you will have the opportunity to contribute to groundbreaking research in the field of AI Testing, leveraging your analytical skills and gaining hands-on experience through working with an international team of researchers. Join us on our mission to enable society for a safe and self-determined co-existence with intelligent machines.
Your profile
Your responsibilities
Supporting the development of tools for evaluating data quality in the context of machine learning for medical applications.
Organizing experiments related to data quality and interpreting the results.
Qualification
Master's student in the field of Bioinformatics, Computer Science, Physics, Mathematics, or a similar field of study.
Internships, projects, or research work related to data science or machine learning is a plus.
Experience in programming with Python, especially with libraries such as NumPy, Pandas and Scikit-learn (or equivalent).
Familiarity with data visualization.
Knowledge of programming with R is a plus.
Preferred skills
Experience working in teams, especially in technical or research-based (study) projects.
Proficiency with dashboard creation tools such as Streamlit is a strong plus.
A solid understanding of undergraduate mathematics is desired.
Meaningful out-of-the-box thinking is a plus.
Most importantly, even if you do not fulfill all the above points, but you are passionate, and ambitious and strive to contribute in building something useful that has a meaningfull impact on people and the future: Please contact us!
Why us?
Working at QuantPi
Joining our team comes with several benefits, amongst others:
Flexible working hours
Exchange with world-leading researchers
Working on mission-critical AI use cases
Top equipment and infrastructure
Healthy snacks and coffee free of charge
Shaping the future of AI auditing
Time for professional development
While our diverse team speaks 15+ languages, our working language is English. Our current office in Saarbrücken is co-located with Saarland Informatics Campus, one of Europe’s leading research site for computer science and cybersecurity. Recently, we opened a hub in Berlin and are looking to further expand the QuantPi footprint with additional hubs.
At QuantPi, we actively work to create an environment that values end-to-end ownership, diverse forms of impact, and opportunities for personal growth. Our international expert team is looking for individuals with the right personality and background to help shape a fast-growing organization.
QuantPi prohibits discrimination and harassment of any type based on race, color, religion, age, sex, national origin, sexual orientation as well as gender identity or expression. All employment is decided based on qualifications, performance, merit, and business needs.
How to apply
If you are driven, committed, and up for exciting challenges, we’d be more than happy to meet you! Please send your CV, certificates, and any other information you consider relevant by clicking on the application button below.
About us
About QuantPi
We founded QuantPi in 2020 as a spin-off of CISPA - Helmholtz Center for Information Security and Saarland University to ultimately enable society for a safe and self-determined co-existence with intelligent machines
Since then, we grew our talented international team of machine learning researchers, software engineers, and business minds and developed our world-leading technology from fundamental research to scalable software that is implemented by Fortune500 companies. We are funded by world-class investors and backed by renowned advisors from academia and industry.
Our mission is to develop technology solutions that make AI trustworthy and ethical, and ultimately safer and more valuable for our society. We do so by eliminating the risks that come with building, deploying, and using AI systems. Our customers can ensure that legal, commercial, and reputational risks related to their AI solutions are identified, assessed, monitored, and mitigated.