Data Scientist
Core
Develop machine learning and agentic AI solutions to improve customer experiences in home lending by uncovering patterns and creating intelligent applications.
Role type
Data Scientist (ML & Agentic AI)
Builds
Intelligent applications for customer communication and personalization within the home lending journey.
Domain
Financial Services / Home Lending / AI
Deliverable
production ML models | product features
Required skills
Statistics, Mathematics, Machine Learning, Supervised Learning, Predictive Modelling, Classification, Forecasting, Python, SQL, Experimentation Design, Model Validation, Responsible AI, Data Governance
Preferred skills
Agentic AI development, Generative AI, Large Language Model (LLM) applications, Workflow design, Human oversight strategies, Solution selection (ML vs Rules vs Agentic), Evaluation metrics beyond accuracy
Technologies
Python, SQL, GenAI, LLMs
Responsibilities
Identify and optimise customer cohorts for home lending opportunities using predictive modelling. Design, execute and measure experiments to evaluate customer propositions. Develop and apply AI-powered solutions (GenAI, agentic capabilities) to enhance customer communications. Determine the best approach (ML, statistical, rules, or agentic) for specific problems. Develop robust experimentation and evaluation frameworks assessing technical and commercial impact.