Data Scientist
Berlin (Hybrid)
- Pay
€58,000–73,000/year · Gross — pay source
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
Read the full posting- Work setting
Hybrid — work setting source
Listed location: Berlin (Hybrid)
Read the full posting- Employment
Permanent — employment source
Employment type in the employer’s posting: Permanent employee
From the employer’s posting
What you’ll work on
Full postingOptimize the machine learning and AI-based debt collection product
Identify, structure and solve complex problems
Deliver projects with measurable value to the business
Present technical product concepts to data scientists, developers, and business owners
From the employer’s posting
further optimize our innovative product based on machine learning and artificial intelligence
identify, understand, structure and solve complex problems
work on projects that deliver measurable value to our business
communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts
What you’ll bring
All qualificationsCore experience
- 2+ years of experience as a Data Scientist
- Experience with Python and data packages like Pandas and NumPy
- Track record of successful machine learning projects
- Knowledge of relational databases such as MySQL or PostgreSQL
- Familiarity with agile practices such as TDD/BDD and code reviews
Qualification wording
2+ years of experience as a Data Scientist
experience with Python and with data processing packages (e.g. Pandas, Numpy)
track-record of successful projects using machine learning to solve business problems
knowledge of relational databases such as MySQL or PostgreSQL
experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc.
Tools in this posting
- Python
- AWS
- MySQL
- PostgreSQL
- FastAPI
- Flask
- NumPy
- pandas
- PyTorch
- scikit-learn
Source — Tool mentions in context
- 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
- 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!
- 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 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
- 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)
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 16, 2026 · 76 days ago
- Recorded sightings
- 40
- Last seen by us
- Oct 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on pair.jobs.personio.de. The employer’s form will show what is required.
Already applied? Track this application
Job description
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 Reinforcement 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
Our Interview Process:
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!
Source details
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- Pay
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
- Location & working pattern
Berlin (Hybrid)
- 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 Our Interview Process:
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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