Senior Data Scientist (f/m/d)

Das ist der Job

Are you ready to change the market?

Darum lohnt es sich

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. Responsibilities Be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence.

Benefits Salary band: €76,000 – €103,500 gross per year (based on a 40‑hour work week) – exact offer reflects experience and qualifications. Strong experienced international team to support and mentor you along the way, smooth onboarding process. International team of 30+ nationalities.

Company pension plan, partly covered Deutschlandticket (public transport) and access to a corporate benefits voucher platform for your well‑being. Fun company summer and Christmas parties as well as regular team events. Hybrid working policy, modern office near Uhlandstraße with fresh fruit, muesli and drinks.

We value a diverse team and an inclusive culture. Are you a passionate and experienced Data Scientist, excited to work on improving and maintaining our data architecture? Work on advanced and demanding AI fields such as large language models. 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. Qualifications Degree in Data Science, Computer Science, Mathematics or similar. 6+ years experience as Data Scientist, ideally in a startup or fintech company.

Extensive and hands‑on experience with deployment of (ideally open source) LLMs (hosting, fine‑tuning, prompt engineering, evaluation). Experience automating complex processes using LLMs, reducing system latency, increasing efficiency, etc. Deep knowledge of server management, GPU orchestration, and computational optimization techniques.

Extensive experience with Python and with data processing packages (e.g., Pandas, Numpy) and machine learning frameworks (e.g., PyTorch, scikit‑learn, transformers). Familiarity with web frameworks like Flask or FastAPI. Deep knowledge of relational databases such as MySQL or PostgreSQL.

Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc. Experience with cloud‑based infrastructure solutions, such as AWS. Experience with reinforcement learning is a strong plus. Excellent English speaking and writing skills. Visa sponsorship. Thriving, financially stable company.

Flat hierarchy, transparent and appreciative feedback culture, monthly all‑hands meetings, annual feedback and evaluation cycle, regular 1‑on‑1s with your lead. Well‑structured onboarding process and supportive, welcoming colleagues. Personal learning & development budget as well as German and English language courses.

Unlimited employment contract, flexible working hours and 28 vacation days for work‑life balance. Company Values Transparency, Execution, Ownership, Customer Centricity, Innovation and Integrity are important to us and we at PAIR Finance embody these values.

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 to contact customers individually and simply throughout the entire collection process.

Strengthened by a renowned private equity firm in the fintech sector and partnerships with other investors, PAIR Finance offers an excellent opportunity to dive deep into and actively shape the fintech industry. Equal Opportunity Employer PAIR Finance is an equal‑opportunity employer.

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. #J-18808-Ljbffr