Hybrid-Job

Hybrid / Homeoffice möglich

Data Scientist (f/m/d)

Pair

Quelle: PersonioStandort: Berlin · Nur DeutschlandVeröffentlicht: 14. Aug. 2026Aktiv bestätigt: 19. Sept. 2026
ca. 4.833 € – 6.083 € / MonatVollzeitFreelance / VertragFinTech1-50

≈ 3.040-3.690 € netto/Monat

Schätzung: Steuerklasse I, keine Kirchensteuer, gesetzlich versichert. Zum Brutto-Netto-Rechner

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Stellenbeschreibung

Are you ready to change the market?

Are you a passionate and experienced Data Scientist, excited to work on 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.

Your Responsibilities:

  • work as part of our Outbound 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 R einforcement and Q learning
  • 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 we're looking for:

  • 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 machine learning 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

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

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:

  • For this mid-level role, our salary band is €58,000 - €73,000 gross per year (based on a 40-hour work week). The exact offer will reflect your experience and qualifications
  • 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
  • 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

Who is your contact person?

Your contact person for this position is Geneva Brooks . If you have any questions, please contact us directly by email (jobs@pairfinance.com). For more information about PAIR Finance, please take a look at our website and our careers page . We look forward to hearing from you!

AIAI (Data + Behav. Science)permanent

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