Senior Data Scientist (Business & Transaction Platform)

Get to Know the Role We are looking for a Senior Data Scientist to help construct in-house machine learning platforms and deploying production-grade ML and LLM solutions to solve complex business problems at scale. You will apply cutting-edge technologies to drive real-world impact for millions of consumers and merchant partners.Reporting to the Senior Data Science Manager, this is a full-time individual contributor role based onsite at our One North office in Singapore.Ready to shape intelligent platform systems at regional scale?

The Critical Tasks You Will Perform Architect Scalable ML Solutions: Design, develop, and benchmark efficient deep learning and machine learning algorithms for large-scale prediction, classification, and forecasting problems.

About Grab

Get to Know the Team The Business & Transaction Platform (BTP) Data Science team develops scalable machine learning algorithms and intelligent platforms that power transaction efficiency and platform reliability across Grab.

We solve core challenges across prediction, forecasting, classification, and generative AI—building foundational data products that support downstream applications across the Grab ecosystem in Southeast Asia.

Join us and apply today.

Responsibilities

• Build, fine-tune, and deploy state-of-the-art LLMs and ML pipelines into production platforms in collaboration with engineering teams.
• Analyse massive, multi-modal datasets and build data processing pipelines using distributed computing frameworks.
• Design and execute offline evaluations and online A/B experiments to validate model accuracy, latency, and business performance metrics.
• Stay at the forefront of machine learning and GenAI research, contributing to technical IP, prototypes, and team best practices.
• Partner with Product, Engineering, and Operations stakeholders to translate business requirements into scalable ML features.
• Utilize GenAI tools and modern development workflows to accelerate code delivery, pipeline testing, and technical documentation.
• Experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.

Requirements

• Essential Skills You Will Need Education & Domain Expertise: A Master's or PhD in Computer Science, Operations Research, Mathematics, Data Science, or a related quantitative field.
• At least 2 years of hands-on industry experience building, deploying, and monitoring machine learning or deep learning models in production environments.
• Programming skills in Python and PyTorch, alongside practical experience with SQL and Spark for distributed data processing.
• Understanding of data extraction, transformation, and pipeline engineering (ETL) within large-scale data platform architectures.
• Hands-on experience developing or fine-tuning transformer models, NLP architectures, or modern LLM frameworks.
• Demonstrated ability to translate ambiguous business and transaction challenges into concrete, measurable ML formulations.
• Essential Skills You Will Need Education & Domain Expertise: A Master's Degree in Computer Science, Operations Research, Mathematics, Data Science, or a related quantitative field.
• At least 2 years of hands-on industry experience building, deploying, and monitoring machine learning or deep learning models in production environments.
• Programming skills in Python and PyTorch, alongside practical experience with SQL and Spark for distributed data processing.
• Understanding of data extraction, transformation, and pipeline engineering (ETL) within large-scale data platform architectures.
• Hands-on experience developing or fine-tuning transformer models, NLP architectures, or modern LLM frameworks.
• Demonstrated ability to translate ambiguous business and transaction challenges into concrete, measurable ML formulations.

Benefits

• Experience engaging with AI tools and emerging technologies to enhance productivity, improve workflows, and contribute new ideas.
• 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.

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.