Data Scientist

About

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, 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.

What you can do with us:

• work as 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
• 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 face
• communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts

What you should bring for it:

• 2+ years of experience as a Data Scientist, ideally in a startup or fintech company
• experience with Python and with data processing packages (e.g. Pandas, Numpy)
• familiarity with web frameworks like Flask or FastAPI
• knowledge of relational databases such as MySQL or PostgreSQL
• track-record of successful projects using ML to solve business problems
• experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
• excellent English speaking and writing skills
• willingness to dive into our data and get your hands dirty

Things that will make you stand out:

• a degree in Data Science, Computer Science, Mathematics or similar
• experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)
• hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)
• experience with Reinforcement Learning
• experience with cloud-based infrastructure solutions, such as AWS

Our offer for you:

• Thriving, financially stable company
• Strong experienced international team to support and mentor you along the way, and a smooth onboarding process
• International team of 30+ nationalities with professionals and experts
• Flat hierarchy, transparent and appreciative feedback culture, monthly all-hands meetings, annual feedback and evaluation cycle, and regular 1-on-1s with your lead
• Well-structured onboarding process as well as supportive and welcoming colleagues
• Personal learning & development budget as well as German and English language courses
• Good salary for your strong performance
• Unlimited employment contract, flexible working hours, and 28 vacation days for your work-life balance
• Company pension plan, partly covered Deutschlandticket (public transport) and access to “Corporate Benefits” voucher platform to ensure your full well-being
• Fun company summer and Christmas parties as well as regular team events
• 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