Data Scientist - GrabFin

Rocket Lab; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A leading company in the insurance technology space is seeking a Machine Learning Engineer in Singapore. The role focuses on developing scalable machine learning systems and predictive models to support innovative insurance products. Join a collaborative team environment to make a real impact through data insights and advanced analytics.

Benefits

Term Life Insurance

Medical Insurance

Parental Leave

Birthday Leave

Volunteer Leave

Flexible Work Arrangements

Qualifications

• 2 to 4 years' experience in developing machine learning models using Python.
• Expertise in tools like Spark and SQL; received advanced training in MLOps.
• Strong analytical skills to solve problems and improve model performance.

Responsibilities

• Build production-ready machine learning models leveraging Python, Spark.
• Analyze model performance using real-world datasets ensuring market accuracy.
• Engage with cross-functional teams, delivering actionable insights.

Skills

Python

Data Processing

Machine Learning

Feature Engineering

Analytical Skills

SQL

Tools

Spark

Scikit-learn

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

GrabFin is empowering financial inclusion across Southeast Asia by combining market insights, advanced data science, and engineering excellence. We build innovative financial services for the Grab ecosystem, catering to our Drivers, Consumers, and Merchants across 6 countries. Our team blends expertise in Lending, Payments, and Insurance to create tremendous value for our customers. At GrabInsure, part of GrabFin, we focus on insurance products tailored for our diverse user base with cutting-edge technology and data-driven problem-solving.

Get to Know the Role

Reporting to the Senior Manager, Data Science, you will work on crafting scalable, production-grade machine learning systems to support insurance products. You'll leverage diverse datasets to develop predictive models and features, ensuring performance matches real-world needs. You'll collaborate with cross-functional teams, including product managers and engineers, turning business needs into robust machine learning solutions. This is a great opportunity to have a tangible impact on our insurance offerings and is a fully on-site role at Grab's Singapore One-North office.

The Critical Tasks You Will Perform

• Build production-ready machine learning models leveraging Python, Spark, and cloud-native tools.
• Construct and automate efficient data pipelines and feature stores for model development and deployment.
• Engineer features from both structured internal data and supplemental external data sources to refine customer profiling.
• Analyze and validate model performance using real-world datasets, ensuring in-market accuracy.
• Identify and preempt performance drifts, leading updates or refresh cycles for models.
• Present data insights and predictions to senior leadership, explaining trade-offs and business implications.
• Provide actionable recommendations based on model findings, such as adjustments to policies or customer engagement strategies.
• Debug and enhance models, addressing unexpected outcomes or operational challenges.

Qualifications

What Essential Skills You Will Need

• 2 to 4 years' experience in using Python for developing machine learning models and automating supporting pipelines.
• Expertise in distributed data processing tools like Spark and SQL.
• Experience with machine learning concepts such as feature engineering, hyperparameter tuning, and model evaluation metrics.
• Hands-on experience with machine learning and deep learning libraries, including Scikit-learn, XGBoost, TensorFlow, and PyTorch.
• Familiarity with MLOps tools (e.g., Hive, PySpark, Airflow) for model deployment and lifecycle management.
• Work with structured and unstructured data while designing efficient, reusable data pipelines.
• Knowledge of Git and CI/CD best practices for streamlined development workflows.
• Strong analytical skills to debug, solve problems, and improve model performance.

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.