Grab
Technology
SeniorDataScientist(Integrity)
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Scientist (Integrity) at Grab. Skills: Data science, Machine learning, Data engineering, Business intelligence. Design and implement data pipelines. Develop and deploy machine learning models”
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field
Nice to Have
PhD in a quantitative field, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM), Experience with BI platforms (Tableau, Power BI, Looker), Experience with data engineering tools (dbt, Airflow, Fivetran), Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Delta Lake, Experience with SageMaker, Experience with Vertex AI, Experience with MLflow, Experience with Hugging Face, Experience with dbt Cloud
What You'll Do.
Design and implement data pipelines
Develop and deploy machine learning models
Build and maintain business intelligence dashboards
Perform data analysis to drive business insights
Collaborate with engineering teams
Ensure data quality and integrity
Stay updated on industry trends
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product teams
Full Job 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. 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 verif
Applying for this Senior Data Scientist (Integrity) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about Grab?
Real rants from real employees. Read before you apply.