Bondora
51 - 200 employees
Founded 2008
💸 Finance
💳 Fintech
👥 B2C
Finance • Fintech • B2C
Bondora is a fast-growing financial technology company founded in 2008, dedicated to empowering individuals to enjoy life by alleviating financial stress. Serving over 1 million customers worldwide, Bondora offers intuitive online financial services to help users save, grow, and spend money confidently. The company is pursuing a bold transformation by acquiring a banking license, aiming for a valuation target of 1 billion by 2026 and expanding to 11 new countries. Bondora prides itself on a vibrant community culture and a supportive work environment for its employees, offering various perks and opportunities for personal and professional growth.
Lead Data Scientist
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🔥 0 minutes ago
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Bondora
51 - 200 employees
Founded 2008
💸 Finance
💳 Fintech
👥 B2C
Finance • Fintech • B2C
Bondora is a fast-growing financial technology company founded in 2008, dedicated to empowering individuals to enjoy life by alleviating financial stress. Serving over 1 million customers worldwide, Bondora offers intuitive online financial services to help users save, grow, and spend money confidently. The company is pursuing a bold transformation by acquiring a banking license, aiming for a valuation target of 1 billion by 2026 and expanding to 11 new countries. Bondora prides itself on a vibrant community culture and a supportive work environment for its employees, offering various perks and opportunities for personal and professional growth.
📋 Description
• 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 to integrate data science outputs
🎯 Requirements
• Proven track record in developing and validating credit models • Expertise in regression, classification, ensemble methods, and time-series forecasting • Strong proficiency in Python (or R) and SQL • Hands-on experience in libraries like scikit-learn, TensorFlow/PyTorch • Experience building and managing robust data pipelines • Familiarity with deploying machine learning models into production environments • Proficiency in visualization tools such as Tableau • Knowledge of agile development practices
🏖️ Benefits
• 5 weeks of vacation • Private healthcare compensation • Hobby grant • Mental health support • Share options • Continuous learning resources and budget
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