Are you ready to change the market?
As the innovation leader in the receivables management industry, we at PAIR Finance are proud of our unique technology. Our algorithm, based on artificial intelligence, sensitizes defaulting consumers to pay outstanding debts without straining the customer relationship. Our fully automated, individually tailored approach enables us to assess each debtor's situation and achieve higher repayment rates. Our Data and Behavioral Science teams utilize purpose-built Python tools to analyze and enrich our data.
Our company has experienced significant growth and we are continuously improving our technologies, processes, and policies to form a reliable foundation for further growth. To further develop our innovative product, we are looking for a Team Lead (f/m/d) Data Science to join our team. In this role you will focus on the further development of our Machine Learning products and lead a team of three Data Scientists.
Become part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence.
What you can do with us:
1. Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence
2. Lead and mentor a team of three Data Scientists, providing technical guidance and support
3. Work on advanced and demanding AI fields such as our reinforcement learning-driven decisioning product that is used for our outbound communication
4. Improve our portfolio valuation models and work closely with our Finance department as stakeholders to ensure high quality output
5. Identify, understand, structure, and solve complex problems in collaboration with stakeholders (e.g. Behavioural Science, Tech, Finance, Collection, Market departments)
6. Work on projects that deliver measurable value to our business
7. Experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we face
8. Report directly to our Director of AI & Data Science
What you should bring for it:
9. Degree in Data Science, Computer Science, Mathematics or similar
10. 6+ years experience as Data Scientist, ideally in a startup and/or fintech company
11. First leadership experience in a dynamic environment
12. Extensive experience with Python and with data processing packages (e.g. Pandas, Numpy) and machine learning frameworks (e.g. pytorch, scikit-learn, transformers)
13. Familiarity with web frameworks like Flask or FastAPI
14. Deep knowledge of relational databases such as MySQL or PostgreSQL
15. Experience with Reinforcement Learning would be a strong plus
16. Impressive track-record of projects using Machine Learning to solve business problems
17. Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
18. Experience with cloud-based infrastructure solutions such as AWS
19. Excellent English speaking and writing skills
20. Willingness to dive into our data and get your hands dirty
Transparency, Execution, Ownership, Customer Centricity, Innovation and Integrity are important to us and we at PAIR Finance embody these values. Do you find yourself in these values? Then become part of our team and complement us with your individual motivation and character!
Our offer for you:
21. Thriving, financially stable company
22. Strong experienced international team to support and mentor you along the way, smooth onboarding process
23. International team of 30+ nationalities with professionals and experts
24. Flat hierarchy, transparent and appreciative feedback culture, monthly all hands meetings, annual feedback and evaluation cycle, regular 1-on-1s with your lead
25. Well-structured onboarding process as well as supportive and welcoming colleagues
26. Personal learning & development budget as well as German and English language courses
27. Good salary for your strong performance
28. Unlimited employment contract, flexible working hours and 28 vacation days for your work-life balance
29. Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits” voucher platform to ensure your full well-being
30. Fun company summer and Christmas parties as well as regular team events
31. This role is based in Berlin, and we have a hybrid working policy. Modern office near Uhlandstraße is complete with fresh fruit, muesli and drinks for a comfortable and enjoyable workplace