Lead Data Scientist

Job Description

Job Description

Position : Lead Data Scientist

Company Overview :

Direct Recruit Agency is a leading recruitment agency that specializes in placing top talent in various industries. Our mission is to connect exceptional candidates with the best companies, providing them with the opportunity to grow and thrive in their careers.

Job Summary :

We are seeking a highly skilled and experienced Lead Data Scientist to join our team. As the Lead Data Scientist, you will be responsible for leveraging VertexAI to lead the design, development, deployment, and governance of machine learning models that power and optimize our risk underwriting to achieve business objectives. You will work closely with our clients to understand their business needs and develop data-driven strategies to help them achieve their goals.

Key Responsibilities :

• Design, develop, and deploy models that are used for risk underwriting, risk management, limit setting, pricing, and customer acquisition and engagement optimization.
• Analyze diverse datasets, including but not limited to credit bureau, customer behavior, and alternative data, to extract meaningful insights and patterns, identifying actionable opportunities for optimization and innovation.
• Lead and mentor a team of data scientists and analysts, providing guidance and support.
• Conduct exploratory data analysis, feature engineering, and model selection to optimize performance and enhance predictive accuracy.
• Implement and maintain scalable machine learning pipelines and workflows on Google Cloud Platform, ensuring reliability, scalability, and efficiency.
• Leverage Google Dataflow to process large-scale data and build scalable data processing pipelines.
• Evaluate model performance and govern deployed models using appropriate metrics, techniques, and scalable automated methods.
• Maintain model documentation and perform ongoing refits / retraining of existing models to ensure models are always at or near optimal performance and risks of degradation are avoided or managed.
• Design experiments, measure, test, and conduct readouts to optimize and test the underwriting process, offers, and customer engagement.
• Collaborate with engineering teams to integrate machine learning models into production systems, monitor performance, and troubleshoot issues.
• Contribute to developing best practices, standards, and documentation for machine learning processes and methodologies.
• Develop and implement data-driven strategies for credit risk management.

Requirements :

Preferred :

Benefits :

If you are a highly motivated and skilled Data Scientist looking to lead a dynamic team and make a significant impact in the banking industry, we want to hear from you! Apply now at Direct Recruit Agency.