Senior Data Scientist (Integrity)

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 Integrity team is the guardians of all our users on Grab. Our mission is to be the most trusted platform in the world for protecting individuals and businesses in the domain of fraud, risk, digital identity and safety. The data science team uses rich datasets to build AI solutions to solve these tough problems. We're a hands-on team involved in the entire modelling lifecycle: from data exploration and model development to production deployment and model refresh.

Get to Know the Role

We are looking for Senior Data Scientist specialising in Computer Vision and Multimodal LLMs post-training. This role reports into the Senior Data Science Manager and is based in Grab Singapore One North office.

You'll focus on developing advanced models for precise OCR, KYC verification, and document/image information extraction. This work directly supports enhanced user onboarding, verification workflows, and several downstream applications. You'll use modern technologies, including Multimodal LLMs, to improve visual intelligence capabilities.

The Critical Tasks You Will Perform

You will:

• Build at Massive Scale: Design, train, and fine-tune state-of-the-art models, including OCR and Vision LLMs, to analyse and extract information from complex documents. Your work will be at the core of Grab's ability to scale KYC and onboarding operations.
• Architect and Own End-to-End Solutions: Architect, design, and own the document processing pipelines that solve critical business challenges like identity verification, from initial concept to live production models.
• Productionize and Optimize: Deploy your models into our high-throughput production environment, implement monitoring for production metrics, and iterate to improve performance, latency, and efficiency.
• Drive Innovation: Research and prototype with the latest advancements in AI, translating cutting-edge academic research into tangible product impact.
• Influence Through Clarity: Explain technical concepts, model trade-offs, and experimental findings to stakeholders in product, policy, and operations.

What Essential Skills You Will Need

You have:

• Educational Background: Degree in Computer Science, Electrical/ Computer Engineering, Mathematics/ Statistics, or related technical disciplines.
• Experience: At least 3 years of experience in tech companies or academic institutions with a similar role.
• Programming Skills: Proficiency in Python, Spark, and SQL. Familiarity with version control systems such as git and git-flow, and an understanding of the full software development life cycle.
• AI & Deep Learning: Experience with deep learning frameworks like TensorFlow or PyTorch.

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.