Grab
Financial Services
SeniorDataScientist(GrabFin)
Neural analysis suggests this role is
optimal for entry candidates.
“Senior Data Scientist (GrabFin) at Grab. Skills: Machine learning systems, Predictive models, Data pipelines. Build and deploy scalable ML models. Develop predictive models”
Industry & Context.
Model performance drifts; Model performance gaps
What They're Looking For.
Must Have
3 years of experience building ML models in production, Experience with multi-agent systems, Python programming for ML development, Experience with distributed data processing (Spark, SQL), Proficiency with ML/ DL libraries (scikit-learn, XGBoost, TensorFlow or PyTorch), Experience with feature engineering and model evaluation metrics, Explain model behavior to non-technical stakeholders
Nice to Have
PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Build and deploy scalable ML models
Develop predictive models
Create data pipelines
Validate model performance
Work with product managers
Translate business requirements
Engineer predictive features
Identify external data sources
Lead model refresh cycles
Present model findings
Explain risk trade-offs
Quantify business impact
Translate model insights
Make strategic recommendations
How You'll Work.
Team & Collaboration
Product managers; Engineers; Data scientists; Principal Data Scientist
Communication Scope
Explain model behavior; Present model findings
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 Financial Services (FS) brings together FinTech and Banking businesses across 6 countries in Southeast Asia, covering Lending, Payments, and Insurance. You'll join a team building financial services for drivers, consumers, and merchants within the Grab ecosystem. The team combines market insights with data science and engineering to develop products that fit user needs. You'll work in a flat structure with ownership over your models and solutions, focusing on both batch and real-time data science applications. Get to Know the Role You'll build and deploy production-grade machine learning systems for FS Lending products serving drivers, passengers, and merchants. You'll develop predictive models using machine learning and deep learning techniques, create data pipelines, and validate model performance on real-world datasets. You'll work with product managers, engineers, and data scientists to translate business requirements into ML solutions. You'll report into the Principal Data Scientist and work onsite in Grab One North Singapore office. The Critical Tasks You Will Perform You will: * Build and deploy scalable ML models using Python, Spark, and cloud-native tools to predict lending outcomes and customer behaviour. * Develop data pipelines and feature stores to support model training and inference, ensuring data flows correctly from source to production. * Engineer predictive features from internal data assets and identify external data sources to incorporate into model development. *
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