Senior Data Scientist (Business Transaction Platform)

About Grab and Our Workplace Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility. Get to Know the Team The Business & Transaction Platform team develops scalable ML and AI solutions to understand merchant content–spanning text, images, and structured data across Grab Food and Grab Mart in SEA. We build intelligent pipelines and data products that allow downstream applications including search, personalization, advertising, and merchant growth tools. Get to Know the Role We are looking for a Senior Data Scientist to develop and improve our knowledge graph systems. You'll design and implement ML and NLP solutions for entity tagging, taxonomy enrichment, and multilingual entity mapping. You'll work with product, engineering, and operations teams to deliver high-quality structured knowledge at scale. You'll report into the Senior Data Science Manager and work onsite in the Grab One North Singapore office. The Critical Tasks You Will Perform Build and improve entity recognition and attribute tagging pipelines using LLMs and NLP techniques. Develop multilingual entity mapping solutions using embedding models and semantic similarity approaches. Improve taxonomy quality through automated synonym mining, hierarchy generation, and entity deduplication. Design and run data-driven experiments to evaluate model accuracy and downstream business impact. Collaborate with product and engineering teams to integrate ML outputs into platform features. What Essential Skills You Will Need A Master's degree in Computer Science, NLP, Machine Learning, Mathematics, or a related field. At least 2 years of relevant experience in applied NLP, ML, or data science. Proficiency in Python, SQL, and Spark for large-scale data processing. Hands-on experience with NLP techniques (entity recognition, text classification, embeddings) and LLMs. Experience with knowledge graphs, entity resolution, or taxonomy systems is a plus. Analytical and problem-solving skills with ability to communicate findings clearly to cross-functional stakeholders. Life at Grab We care about your well-being at Grab, here are some of the global benefits we offer: We have your back with Term Life Insurance and comprehensive Medical Insurance. With GrabFlex, create a benefits package that suits your needs and aspirations. Celebrate moments that matter in life with loved ones through Parental and Birthday leave , and give back to your communities through Love-all-Serve-all (LASA) volunteering leave We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges. Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours What We Stand For at Grab We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.