Senior Data Scientist (Safety)

Grab; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading Southeast Asian superapp is seeking a Senior Data Scientist to develop AI solutions focused on user safety. You will architect and optimize machine learning models in a fast-paced environment. The ideal candidate has strong programming skills in Python, Spark, SQL, and a background in deep learning frameworks. Join us to contribute to enhancing user trust and safety with innovative technology.

Benefits

Term Life Insurance

Medical Insurance

Flexible benefits package

Parental leave

Volunteering leave

Qualifications

• At least 3 years of experience in tech companies or academic institutions.
• Proficiency in Python, Spark, and SQL.
• Experience with deep learning frameworks is a must.

Responsibilities

• Architect, design, and own the machine learning systems.
• Design, train, and fine-tune state-of-the-art models.
• Take ownership of the full MLOps lifecycle.

Skills

Python

Spark

SQL

Machine Learning

Deep Learning

Computer Vision

Education

Degree in Computer Science, Electrical/Computer Engineering, Mathematics/Statistics

Tools

TensorFlow

PyTorch

Job description

Company Description

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.

Job Description

Get to Know the Team

The Trust, Identity, and Safety (TIS) team is the guardian 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

As a Senior Data Scientist focused on Safety, you'll report into the Senior Data Science Manager and work onsite in Grab One North Singapore Office. You'll help build and deploy AI solutions designed to protect our users through both incident intervention and detection. You'll develop sophisticated models, leveraging a wide variety of data sources—including user behaviours, audio, and video—to accurately assess ride risk. You'll address these challenges by employing both traditional Machine Learning (ML) techniques and the reasoning capabilities of Large Language Models (LLMs) and Multimodal LLMs.

If you excel at solving massive-scale, complex modelling challenges, and are passionate about delivering solutions that directly ensure user safety, we encourage you to apply.

The Critical Tasks You Will Perform

You will:

• Architect and Own End-to-End Solutions: You won't just be given problems; you'll partner with product teams to frame them. You'll architect, design, and own the machine learning systems that solve critical business challenges, from initial concept to live production models.
• Build at Massive Scale: Design, train, and fine-tune state-of-the-art models, including Large Language Models (LLMs) and multi-modal models, to analyse the situations during ride. Your work will be at the core of Grab's ability to operate safely.
• Productionize and Optimize: Take ownership of the full MLOps lifecycle. You will deploy your models into our high-throughput production environment, implement robust monitoring, and continuously iterate to improve performance, latency, and efficiency.
• Drive Innovation and Influence Strategy: Go beyond implementation. You'll research and prototype with the latest advancements in AI, translating cutting‑edge academic research into tangible product impact. Your insights will directly influence product and policy decisions across Grab.
• Influence Through Clarity: Bridge the gap between our complex ML systems and business strategy. You'll explain technical concepts, model trade-offs, and experimental findings to stakeholders in product, policy, and operations, ensuring your work directly informs and influences their decisions.

Qualifications

What Essential Skills You Will Need

You have:

• A Degree in Computer Science, Electrical/Computer Engineering, Mathematics/ Statistics, or related technical disciplines.
• 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.
• Proficiency in traditional ML and Computer Vision (CV). Experience with audio, video, or LLM modelling, and edge model deployment is a plus.

Additional Information

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.