Senior Data Scientist

Model Development and Deployment:

· Design, build, and deploy machine learning models for credit scoring, risk assessment, fraud detection, and customer segmentation.

· Calibrate model parameters and optimise existing business logic and parameters

· Ensure models are robust, interpretable, and provide actionable insights.

Data Analysis and Insights:

· Conduct thorough data analysis to identify trends, patterns, and opportunities to enhance existing scorecards and processes.

· Develop and maintain dashboards and reports to track model key performance metrics and provide actionable insights to stakeholders.

Model Infrastructure and MLOps:

· Develop and maintain model infrastructure to support the lifecycle of machine learning models from development to production.

· Automate workflows for model training, validation, deployment, testing and monitoring to ensure efficiency and reliability.

Mentorship and Leadership:

· Mentor and provide guidance to junior data scientists and analysts in the team.

· Lead data science projects from inception to completion, ensuring timely delivery and alignment with business goals.

Requirements:

· 5+ years of experience in data science, preferably within the fintech or financial services industry.

· Proven experience in developing and deploying machine learning models in a production environment.

· Strong background in statistical analysis and machine learning.

· Expert in credit modelling and risk management would be an added advantage