Data Scientist

At Bondora, our mission is clear: to empower people to enjoy life more while alleviating the stress of managing finances. Founded in 2008, Bondora has proudly served a diverse community of over 1 million customers for an impressive 16 years.

As a rapidly growing financial technology company, we’re reaching new heights with a bold vision. We’re set to acquire a banking license, unlocking a world of possibilities for our customers. Our investment product is available Europe-wide, and we’re actively expanding our loan product footprint to 11 new countries.

Join us on this journey and let’s build the future of finance together!

What is this role about?🚀

As a Data Scientist at Bondora, you’ll play a hands-on role in designing, improving, and deploying credit risk and scoring models that directly impact how we lend, grow, and manage risk.

This is a high-impact, individual contributor role where you’ll work closely with Credit, Product, and Engineering to turn data into explainable, compliant, and production-ready models. From feature engineering to rollout strategy, you’ll own models end to end — not just in notebooks, but in real business decisions.

If you enjoy combining strong modelling skills with business thinking and stakeholder communication, this role is for you.

Your main responsibilities 🎯

• Develop, and implement scalable scoring models to drive business impact.
• Collaborate with the Credit team to define the rollout strategy of data science products.
• Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and driving data-informed decision-making.
• Follow rigorous testing and validation protocols to ensure model accuracy, reliability, and compliance with regulatory standards.
• Engage in feature-development efforts to surface the most predictive customer signals from diverse data sources and drive more precise credit assessments.

What would ensure success in this role?💪

• Proven track record in developing and validating credit models, ensuring they meet both regulatory requirements and business performance standards.
• Expertise in regression, classification, ensemble methods, and time-series forecasting through both linear and nonlinear modelling.
• Proficiency in Python and SQL, with hands-on experience in libraries like scikit-learn, TensorFlow/PyTorch.
• Experience building and managing robust data pipelines, including ETL processes, data cleaning, and integration across disparate systems.
• Familiarity with deploying machine learning models into production environments using cloud platforms (Azure) and containerization technologies (Docker, Kubernetes).
• Proficiency in visualization tools, such as Tableau, to translate complex data insights into clear, actionable business intelligence.
• Knowledge of agile development practices to efficiently manage projects and deliver iterative improvements in dynamic environments.

What can you expect at Bondora? 

• 🎯 Be part of Bondora’s ambitious journey toward 1BN in revenue - your work will have a real impact.
• 💰 Enjoy a competitive salary and amazing benefits: 5 weeks of vacation, private healthcare compensation, hobby grant, mental health support, share options, and much more!
• 📈 Work in an environment that encourages growth and innovation - with resources and budget for continuous learning.

The next steps

If you have the guts, ideas, and a team vision, apply now! 

Our hiring process: 

1️⃣ Meet Kerli H., our Recruiter — your first chat to share your story and ambitions.
2️⃣ Complete our personality and logic assessments via Alva Labs.
3️⃣ Meet Rafael, Head of Data Science.
4️⃣ Tackle a home task to showcase your skills.
5️⃣ Discuss your case study with Rafael and one of the team mates.
6️⃣ Chat with Juris, our Chief Credit Officer.
7️⃣ 🎉 If the stars align — welcome to Bondora!

Join our team of Bondorians, and let's make it happen!

If you'd like to read how Bondora collects, uses, and protects your personal data during recruitment, please see here.