Lead 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

As the Lead Data Scientist at Bondora, you'll be the driving force behind our data science strategy and the creation of high-impact scoring models. This is both a strategic and hands-on role — you'll collaborate with our credit, product, engineering, and business teams to bring advanced data science to life in everyday decision-making.

You'll lead a talented team of data scientists, ensuring model accuracy, regulatory compliance, and business alignment, while building a culture of innovation and learning

Your main responsibilities

• Oversee the design, development, and implementation of scalable scoring models to drive business impact.
• Collaborate with the Credit team to define data science strategies and ensure alignment with overall business objectives.
• Guide and mentor junior data scientists, fostering a culture of innovation, continuous improvement, and best practices in model development and deployment.
• Communicate complex technical concepts to non-technical stakeholders, providing actionable insights and driving data-informed decision-making.
• Establish rigorous testing and validation protocols to ensure model accuracy, reliability, and compliance with regulatory standards.
• Stay on top of industry trends and emerging technologies, integrating them into the team's workflow to maintain competitive advantage.
• Work closely with product, engineering, and business teams to integrate data science outputs into production systems and strategic initiatives.

• 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 modeling.
• Strong proficiency in Python (or R) 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.

• 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.

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

Our hiring process: 

Meet Iryna, our Recruiter — your first chat to share your story and ambitions.
Complete our personality and logic assessments via Alva Labs.
Meet Rafael, Head of Data Science.
Tackle a home task to showcase your skills.
Discuss your case study with Carlos (Senior Data Scientist) and Rafael.
Chat with Juris, our Chief Credit Officer.
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.