Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
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!
Key Skills
Ranked by relevanceReady to apply?
Join Bondora and take your career to the next level!
Application takes less than 5 minutes

