Data Scientist

About Origence

With 30 years at the forefront of fintech innovation, we specialize in SaaS lending solutions that lead the industry. Our core mission is customer-centric, focusing on empowering Credit Unions across the United States with the tools to offer accessible, competitive lending services. We're deeply committed to enhancing the financial ecosystem for a broad network of credit unions, members and auto dealers. We invest in our greatest assets, our employees, and foster a culture of innovation and ownership through freedom and responsibility. We celebrate fiscal accountability, operational rigor and efficiency to create a sustainably healthy and robust business for the long term.

About you

You are a self-driven, conscientious, fiscally responsible, self-aware, passionate and compassionate professional. You are comfortable with ambiguity, eternally curious, and love problem solving. You operate as an owner and work with a growth mindset. You are extremely productive on your own, and act as a multiplier collaborating with others. You are tireless in questioning the status quo and pursue the best answers to the hardest problems to the benefit of the business. Your focus is strong and capable of context switching and pivoting with the business. In the vacuum of leadership, you assume it.

We are seeking an experienced AI/ML Data Scientist to join Origence's AI team and lead the development of cutting-edge artificial intelligence solutions for our lending technology platform. The successful candidate will design and deploy advanced ML models, implement AI-driven automation across our lending processes, and spearhead the integration of generative AI technologies to enhance our digital lending solutions for credit unions and community banks.

This role offers the opportunity to work at the forefront of AI in fintech, building production-scale machine learning systems that process millions of lending decisions while exploring emerging AI technologies like large language models and computer vision for document processing.

What You’ll Be Doing:

AI/ML Model Development & Deployment

• Design, develop, and deploy advanced machine learning models for real-time credit decisioning, and document processing.
• Build and optimize neural networks for fraud detection, loan default prediction, and customer lifetime value modeling using TensorFlow, PyTorch, or similar frameworks
• Implement automated machine learning (AutoML) pipelines to streamline model development and hyperparameter optimization
• Create natural language processing solutions for loan application analysis, customer service automation, and regulatory compliance monitoring

AI Infrastructure & MLOps

• Build and maintain scalable ML infrastructure using cloud platforms (Primarily Azure, but can extend to AWS, GCP)
• Implement MLOps best practices including model versioning, continuous integration/deployment, and automated monitoring
• Develop A/B testing frameworks for ML models to measure performance and business impact in production
• Create automated model retraining pipelines and drift detection systems

Generative AI & Emerging Technologies