Lead Data Scientist

What is this role about?🚀

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.

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 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.

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 Anna, our Recruiter — your first chat to share your story and ambitions.
2️⃣ Meet Rafael, Head of Data Science.
3️⃣ Tackle a home task to showcase your skills.
4️⃣ Discuss your case study with the team
5️⃣ Complete our personality and logic assessments via Alva Labs.
6️⃣ Chat with Juris, our Chief Credit Officer.
7️⃣ Chat with Martin Sulg, our VP of Engineering.
8️⃣ 🎉 If the stars align — welcome to Bondora!

Originally posted on Himalayas