You’ll build and deploy production‑grade machine learning systems for FS Lending products serving drivers, passengers, and merchants. You’ll develop predictive models using machine learning and deep learning techniques, create data pipelines, and validate model performance on real‑world datasets. You’ll work with product managers, engineers, and data scientists to translate business requirements into ML solutions. You’ll report into the Principal Data Scientist and work onsite in Grab One North Singapore office.

You will:

• Build and deploy scalable ML models using Python, Spark, and cloud‑native tools to predict lending outcomes and customer behaviour.
• Develop data pipelines and feature stores to support model training and inference, ensuring data flows correctly from source to production.
• Engineer predictive features from internal data assets and identify external data ...