Senior Data Scientist (GrabFin)

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. Youll 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. Youll 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

Youll build and deploy production-grade machine learning systems for FS Lending products serving drivers passengers and merchants. Youll develop predictive models using machine learning and deep learning techniques create data pipelines and validate model performance on real-world datasets. Youll work with product managers engineers and data scientists to translate business requirements into ML solutions.

Youll 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.
• Validate model performance on real-world datasets and lead model refresh cycles when you detect performance drifts or gaps.
• Present model findings to senior leadership explaining risk trade-offs and quantifying business impact in clear terms.
• Translate model insights into strategic recommendations for policy changes pricing adjustments or customer targeting strategies.

Qualifications :

What Essential Skills You will Need

• At least 3 years of experience building ML models in production environments Youll deploy models that directly impact lending decisions requiring ability to move models from experimentation to production.
• Experience with multi-agent systems using frameworks like LangGraph CrewAI or ADK Youll implement agent-based systems for complex decision-making workflows using patterns such as ReAct self-reflection or hierarchical delegation.
• Python programming for ML development Youll write and maintain code for model development pipeline automation and deployment. You can demonstrate this through prior work on ML systems.
• Experience with distributed data processing (Spark SQL) Youll build pipelines handling large-scale financial data across multiple markets requiring ability to process data across distributed systems.
• Proficiency with ML/ DL libraries (scikit-learn XGBoost TensorFlow or PyTorch) Youll select and apply appropriate algorithms for credit risk modelling and customer prediction tasks.
• Experience with feature engineering and model evaluation metrics Youll create features from raw transaction and behavioral data and select metrics that properly measure model performance for financial applications.
• You can explain model behavior to non-technical stakeholders Youll regularly present to product managers and leadership requiring you to communicate technical concepts in accessible language and connect model outputs to business outcomes.

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 lifes challenges.

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.

Remote Work :

No

Employment Type :

Full-time