Senior Data Scientist (f/m/d)

at  PAIR Finance GmbH

ARE YOU READY TO CHANGE THE MARKET?

You are a passionate and experienced Data Scientist and you would like to take in improving and maintaining our data architecture? Join us to become a part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence.

ABOUT US

We are rethinking debt collection with our digital debt collection solution, characterized by our high customer orientation and efficiency standards. By using artificial intelligence, we are combining technology with behavioral science and so we are able to contact customers individually and in a simple way throughout the entire collection process.
Strengthened by one of the most renowned private equity firms in the fintech sector, Pollen Street, as well as partnerships with other investors such as Zalando Payments and finleap, PAIR Finance offers an excellent opportunity to dive deep into and actively shape the fintech industry.
PAIR Finance is an equal-opportunity employer. We value a diverse team and an inclusive culture. We welcome applications from all qualified individuals regardless of ethnicity, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, or disability.
For more information about PAIR Finance, visit www.pairfinance.com/ and www.pairfinance.com/karriere/ and www.trustpilot.com/review/www.pairfinance.com
Do you want to find out more about PAIR Finance and the position? We are happy to answer your questions and also to receive your application!

• be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence
• work on advanced and demanding AI fields such as reinforcement learning and LLMs
• identify, understand, structure and solve complex problems in a driven and pragmatic manner
• work on projects that deliver measurable value to our business
• experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we will encounter along the way
• communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts