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PAIR Finance

Data Scientist

PAIR Finance

Data Scientist working on AI and ML optimizations for fintech solutions. Collaborating with stakeholders and delivering solutions to complex challenges in the debt collection industry.

Posted 5/4/2026full-timeBerlin • 🇩🇪 GermanyJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
FlaskMySQLNumpyPandasPostgresPython

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
Pythonmachine learningreinforcement learningLLMsPandasNumpyFlaskFastAPIMySQLPostgreSQL
Soft Skills
problem solvingcommunicationcollaborationadaptabilitycreativity