Senior Data Scientist, Knowledge Graphs & NLP (Multilingual)

GrabTaxi Holdings Pte. Ltd.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Term Life Insurance

Medical Insurance

GrabFlex benefits

Parental and Birthday leave

LASA volunteering leave

Grabber Assistance Programme

FlexWork hours

Job summary

Grab is seeking a Senior Data Scientist to develop and enhance our knowledge graph systems. You’ll design ML and NLP solutions for entity tagging, taxonomy enrichment, and multilingual entity mapping, collaborating with product, engineering, and operations to deliver scalable knowledge assets.

You’ll report to the Senior Data Science Manager and work onsite at the Grab One North Singapore office, contributing to data-driven decisions and platform features with a cross-functional team.

Qualifications

• Master's degree required in CS/NLP/ML/Math or related field.
• Minimum 2 years of practical experience in applied NLP, ML or data science.

Responsibilities

• Build and improve knowledge graph related pipelines using NLP and ML techniques.
• Develop multilingual entity mapping using embeddings and semantic similarity.
• Improve taxonomy quality with automated synonym mining and entity deduplication.
• Design and run experiments to evaluate model accuracy and business impact.
• Collaborate with product and engineering to deploy ML outputs into platform features.

Skills

Python

SQL

Spark

NLP techniques

LLMs

Entity tagging

Multilingual mapping

Communication

Education

Master's degree in Computer Science / NLP / ML / Mathematics

Job description

Grab is seeking a Senior Data Scientist to develop and enhance our knowledge graph systems. You’ll design ML and NLP solutions for entity tagging, taxonomy enrichment, and multilingual entity mapping, collaborating with product, engineering, and operations to deliver scalable knowledge assets.

You’ll report to the Senior Data Science Manager and work onsite at the Grab One North Singapore office, contributing to data-driven decisions and platform features with a cross-functional team.