Lead Data Scientist

Get to Know Our Team

We are the architects of trust. Our mission is to shield the Grab ecosystem from evolving fraud and safety threats by turning massive datasets into applicable intelligence.

From deploying sequence-based models for payment risk to applying graph algorithms that unmask complex money laundering networks, we operate at the intersection of deep learning and platform security. We don't just react; we innovate, researching the latest methods to neutralise tactics before they even surface.

Get to Know the Role:

You'll fight fraud by analysing transactional data, developing and deploying machine learning models, and collaborating with teams to ensure seamless integration of fraud detection systems. You'll help keep our platform safe and trustworthy.

Reporting to the Data Science Manager II, you will work as an Individual Contributor in a Full-time role on-site at our office in Bangalore.

The Critical Tasks You Will Perform:

• Problem Architecting: Partner with teams to translate complex operational challenges into scalable data science solutions that align with Grab's strategic goals.
• Cutting-Edge Research: Stay at the forefront of the industry. You will research and incorporate the latest advancements in AI to counter fraud tactics.
• Data Orchestration: Master data preparation and augmentation, combining diverse data types to build high-fidelity datasets for model training.
• Model Innovation: Design, train, and fine-tune models. Your toolkit will include Graph Neural Networks (GNNs), Transformers/Sequence models, fine-tuned LLMs, and Boosted Trees.
• Production & Scale: Lead the end-to-end lifecycle of your models—from deployment into production to performance monitoring and iterative improvement alongside our software and product engineers.