Top Data Jobs in Singapore

The Vice President of Investment will evaluate investment opportunities, structure transactions, manage due diligence, and collaborate with advisors while supporting asset management initiatives.

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.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

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.

The Senior Network Engineer leads global network operations, large-scale projects, and process improvements, ensuring network performance, reliability, and security. They collaborate on network design, manage migrations, and maintain infrastructure in a hands-on role covering multiple global sites.

Senior individual contributor leading global commercial risk and insurance programs. Performs risk identification, advanced analysis, mitigation strategy design, insurance placements and claims oversight. Partners with Legal, Finance, Operations and external brokers, mentors junior staff, delivers training, and supports crisis response and enterprise risk decision-making.

Lead enterprise data and AI architecture strategy, ensuring alignment with business goals and guiding solution designs while managing cross-domain initiatives and compliance requirements.

Lead advancement of group data management and governance: implement and monitor data quality rules, manage data lineage/catalogue, translate business requirements into ETL/DQ rules, redesign DQ framework for enterprise platform, automate catalogue and reporting, perform data analysis using SQL/Python and big-data tools, support testing, and partner with auditors and regulators to ensure compliance.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

Lead single-threaded product and technical ownership for Client Intelligence & Data, defining APIs and event-driven architectures to deliver merchant-facing analytics, KPIs, and reports. Drive platform strategy toward AI-driven insights, enforce production reliability and automated QA, champion You Build It You Run It culture, partner cross-functionally to scale multi-tenant analytics capabilities, and prioritize work using evidence-based frameworks.

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.

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.

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.

The Cloud Client Partner at NTT DATA will drive managed services and outsourcing sales by building client relationships, generating demand for cloud solutions, and collaborating with internal teams to close deals.

Design and govern enterprise network solutions for large Singapore accounts. Lead presales activities (proposals, RFPs, POCs), produce technical specifications, guide sales, and transition solutions to delivery while providing hands-on technical leadership.

The Senior Sales Specialist identifies and pursues leads, establishes client relationships, and collaborates with internal teams to achieve sales targets through solution-based selling.

Responsible for managing and expanding enterprise accounts, driving revenue growth through strategic partnerships, client engagement, and deal closure. Requires influencing senior stakeholders and executing complex sales cycles.

A structured graduate programme delivering technical training, mentorship, certifications and hands-on client project experience across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity to prepare graduates for specialised technology career paths.

The Client Partner role involves generating demand for cloud services, building client relationships, managing sales processes, and constructing managed services deals while collaborating with internal teams and partners.

As a Senior Associate Client Manager, you will manage client relationships, drive expansion and renewals, and ensure satisfaction through effective communication and sales strategies using Salesforce.com and other tools.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

Lead strategic planning, execution and cross-team collaboration for the Transformation & Data, Group COO unit. Drive KPI creation and reporting, budget planning and forecasting, contract governance, business continuity, and employee experience initiatives. Build control towers and dashboards, prepare executive materials, and manage day-to-day operational matters to ensure alignment with DBS group strategy.

Lead data engineering initiatives to build ingestion, integration, and common data models; enable data products and governance across domains; design scalable cloud-based data architectures and ML pipelines; collaborate with business and tech teams to deliver data products, ensure data quality, and drive adoption.

Support the Business Development team by preparing market strategy reports and statistical analyses, building Qlik or Excel dashboards, and evaluating investment opportunities. Deliver accurate, efficient data-driven insights to inform BD strategies.