Principal Data Scientist en Niuro

This role demands a Principal Data Scientist to lead and scale the risk and underwriting capabilities of a fast-growing fintech platform focused on providing working capital solutions. This is a senior, highly hands-on position where risk, data, and machine learning are treated as core systems rather than support functions. You will own the design, implementation, and continuous optimization of AI-driven underwriting models, risk scorecards, and portfolio strategies. In this role, you will define the long-term vision for risk management at scale while remaining directly involved in model development, feature engineering, and deployment. You will lead and mentor a small, high-impact team of data scientists, setting high technical standards and raising the overall quality bar across the organization. By leveraging alternative data sources and collaborating across product and engineering teams, you will drive fully automated decisioning workflows that directly impact business growth.

Sitio oficial del empleo: Get on Board.

• 8+ years of experience in risk management, underwriting, or credit analytics within fintech, lending, or specialty finance environments
• C1 English level or higher
• Proven track record building AI/ML-driven credit models, risk scorecards, and pricing frameworks
• Strong proficiency with Python, R, SQL, and Excel
• Deep expertise in risk-adjusted pricing, portfolio management, loss forecasting, and modeling techniques (regression, ML, ensemble methods, decision trees, neural networks)
• Experience managing and mentoring small, high-impact data or risk teams
• Solid understanding of cash-flow and alternative-data underwriting

Skills

• Python
• R
• SQL
• Machine Learning
• Credit Scoring
• Risk Management
• Predictive Modeling
• Underwriting
• Portfolio Management
• Loss Forecasting