Ofertas de empleo en SUMUP

• Nivel de experiencia---
• Tipo de contratoA tiempo completo
• Publicada15 abr.

Python TSQL Fintech Machine Learning Office

Location: Barcelona, in-office

At SumUp, we are passionate about giving access to financial services to the millions of businesses too small for most providers to consider. What started as one card reader has turned into a range of readers and multiple remote payment solutions, as well as banking services, including Business Accounts and Loans.

As a Data Scientist in the Lending Tribe, you will play with a huge dataset with billions of transactions from millions of active users. From there, you will build impactful models to help businesses across multiple countries get access to credit through SumUp’s different lending products. You’ll be part of a team of talented analysts, engineers, and other scientists using an advanced stack of tools to create innovative solutions for our products.

What you will do:

• Improve the core lending models: credit risk scoring and affordability forecasting models using machine learning solutions
• Define data collection strategies and new algorithms for models to support expansion to new market segments
• Perform analyses and present your insights to enable SumUp business teams to make data-driven, mission-critical decisions (DROP)
• Communicate and present results to product and business stakeholders
• Mentor other Data Scientists to pursue data science excellence through good engineering practices
• Build production-grade ML solutions using Python, scikit-learn, LightGBM, and PySpark—delivered with testing, monitoring, and reproducibility baked in
• Navigate and improve legacy code and pipelines—refactor without fear, stabilise what’s brittle, and raise engineering standards across the board
• Clearly communicate trade-offs and model performance to both technical and business stakeholders
  
  

• Solid understanding of Data Science
• Deep Python skills, including experience with (pandas, scikit-learn)
• Solid SQL knowledge
• Mastery of statistics, machine learning, and probability theory
• Proven track record in delivering solutions end-to-end
• Experience deploying machine learning models and artifacts in production at scale
• Excellent technical reading, writing and communication skills to support stakeholder management
  
  

• Hands-on experience building or maintaining credit risk models in regulated environments
• A background in software engineering—you think in modules, write testable code, and care about long-term maintainability
• Experience launching models in data-constrained or new market environments
• A degree in a quantitative field: Data Science, Statistics, Mathematics, Computer Science, Economics, or similar
  
  

• Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup
• Restaurant tickets (powered by Edenred)
• Commitment to Diversity and Inclusion: Be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced
• A dedicated annual L&D budget of €2000 for attending conferences and/or advancing your career through further education
• 30 Days Sabbatical: Enjoy the unique opportunity to take a well-deserved break with our 30 days sabbatical benefit after completing 3 years of employment with SumUp
• Referral Bonus: Earn additional rewards by referring talented individuals to join the SumUp team