Lead Data Scientist

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, collaborating with 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 ResponsibilitiesOversee 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.Success Criteria / QualificationsProven track record in developing and validating credit models that meet regulatory requirements and business performance standards.Expertise in regression, classification, ensemble methods, and time?series forecasting using both linear and nonlinear modeling.Strong proficiency in Python (or R) and SQL, with hands?on experience in libraries such as scikit?learn, TensorFlow, and 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 such as Azure and containerization technologies like Docker and 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.BenefitsBe part of Bondora’s ambitious journey toward €1 bn in revenue; your work will have a real impact.Enjoy a competitive salary and comprehensive benefits, including five weeks of vacation, private healthcare, hobby grant, mental health support, share options, and more.Work in an environment that encourages growth and innovation, with resources and budget for continuous learning.#J-*****-Ljbffr

Proven track record in developing and validating credit models that meet regulatory requirements and business performance standards. Expertise in regression, classification, ensemble methods, and time?series forecasting using both linear and nonlinear modeling. Strong proficiency in Python (or R) and SQL, with hands?on experience in libraries such as scikit?learn, TensorFlow, and 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 such as Azure and containerization technologies like Docker and 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 €1 bn in revenue; your work will have a real impact. Enjoy a competitive salary and comprehensive benefits, including five weeks of vacation, private healthcare, hobby grant, mental health support, share options, and more. Work in an environment that encourages growth and innovation, with resources and budget for continuous learning. #J-*****-Ljbffr