Top Data Jobs in Singapore

Develop machine learning and statistical models for geotechnical laboratory and project datasets; automate QA/QC and anomaly detection; integrate and clean LIMS/LabPro/RFID data; link laboratory, CPT, geophysical and imaging data; produce dashboards and analytics for operations; validate models with domain experts and document methods for the Marine Ground Digital Twin platform.

Design, build and maintain scalable ETL/ELT data pipelines and integrations on Microsoft Fabric and Databricks. Prepare and model data for AI/ML and analytics, ensure data quality, lineage, security and governance, develop connectors/APIs, support CI/CD deployments, monitor pipelines, and document handovers while collaborating with stakeholders and AI/ML engineers.

Lead end-to-end data science initiatives across pay TV, digital products, media sales, and customer lifecycle. Design, deploy, monitor ML/AI solutions (churn, propensity, personalization, recommendation, forecasting), partner with stakeholders, build data pipelines, run experiments (A/B, uplift), mentor teams, and translate analytics into measurable commercial impact.

Lead and execute Vantage's APAC public policy strategy, manage government and regulatory engagement, build and lead a regional policy team, coordinate with internal stakeholders, manage third-party advocates, ensure compliance with lobbying and anti-corruption laws, translate policy risks into business actions, and support sustainable, community-aligned growth across APAC markets.

As a Data Scientist in AI Fintech, you will build machine learning models for fraud detection, analyze data, and ensure compliance with regulations.

The role involves owning product feature development, participating in system design, and maintaining software performance in an agile setting.

The Director of APAC Channels drives the Channel GTM strategy, recruits and trains teams, manages partnerships, and monitors performance to accelerate growth.

Join the Financial Services team as an intern to support banking projects through research, analysis, and collaboration with consultants.

Lead a unified data and experimentation framework across the company, engaging with core business lines to support data-driven decision-making, while ensuring data quality and governance.

Design and build production-grade analytical services and ETL pipelines to detect fraud. Analyze session and network data, develop and integrate ML models and AI agents, implement predictive scoring, and produce research-backed documentation and presentations.

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.