Bondora

Data Scientist

• 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.

Machine Learning Engineer

• Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies, tools, and processes that improve scalability and reliability.
• Lead complex, high risk, or cross departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
• Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
• Design and build advanced, production grade ML infrastructure and set the engineering standard for the team.
• Ensure all ML solutions are secure, observable, resilient, and scalable, following governance, compliance, and operational best practices.
• Mentor ML Engineers through code reviews, design sessions, and hands on technical leadership.
• Identify weaknesses or inefficiencies in model or data infrastructure and drive company wide improvements.
• Represent the ML Engineering team in technical discussions and communicate architectural decisions clearly to stakeholders.

Lead Machine Learning Engineer

• Oversee the design, development, and implementation of scalable scoring models
• Collaborate with the Credit team to define data science strategies
• Guide and mentor junior data scientists
• Communicate complex technical concepts to non-technical stakeholders
• Establish rigorous testing and validation protocols
• Stay on top of industry trends and emerging technologies
• Work closely with product, engineering, and business teams

Data Scientist

Lead Machine Learning Engineer

Lead Data Scientist