Top Data Jobs in Singapore

Own end-to-end compliance data pipelines from ODS ingestion through CDM to downstream marts for TMS, KYC, CMS, and regulatory reporting. Build production-grade, auditable pipelines with proactive data quality, monitoring, and reconciliation. Use AI/LLM tooling to accelerate domain ramp-up and pipeline development. Collaborate with Compliance Project Lead, take sub-domain ownership, and mentor junior engineers.

Define and own Finance data architecture and pipelines from ingestion to reporting with full lineage and immutability. Ensure audit-ready financial reporting, partner with Accounting/Treasury for month-end and statutory reporting, build embedded data quality controls, lead incident response, drive AI/LLM adoption in data workflows, mentor engineers, and represent the domain across the organization.

Design, build, and deploy AI/ML solutions (including generative models, RAG, and agentic AI) using large-scale structured and unstructured data. Collaborate with cross-functional teams to productionize models with cloud and MLOps, create data visualisations and insights, and apply modern ML techniques to improve customer experience and operational efficiency.

Support APAC service growth initiatives by building ML-powered simulation models, performing ETL and data modelling with SQL/Power Query, creating Power BI dashboards (DAX), and translating analyses into actionable insights for stakeholders while assisting program management activities.

Lead end-to-end development of computer vision and multimodal ML models for defect detection, segmentation and classification. Co-design AI-ready inspection cells integrating imaging, robotics and NDT hardware. Partner with data engineers on ETL and Databricks/AWS S3 architectures. Deploy and monitor models in production (on‑prem, cloud, edge). Translate shop-floor inspection requirements into scalable, repeatable digital inspection solutions and collaborate with engineers to productize models into applications and workflows.

The Head of Data will define and execute the data strategy, lead a team of analysts, manage external partnerships, and drive data infrastructure for the Solana Foundation.

The Head of Data Discovery manages the bank's data discovery platform, ensuring data accessibility and compliance, while enabling analytics innovation across various business units.

The Data Scientist will support analytics projects, collaborate on predictive solutions, and assist in deploying machine learning models while engaging stakeholders across GlobalFoundries.

The Senior Data Scientist will lead growth analytics, measure channel performance, build AI-powered tools, and partner with growth teams to enhance user acquisition and retention.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

The Growth Data Scientist will analyze complex datasets to improve ad performance, collaborate with teams, and influence product strategies.

The Account Executive engages with customers to sell Salesforce solutions, focusing on building relationships and developing strategies to meet customer needs.

As a Data Engineer, you'll own the data infrastructure for business reporting and analytics, focusing on AI features. Responsibilities include designing data pipelines, ensuring data quality, and collaborating with AI product teams.

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.

The Data & AI Engineer role involves building scalable data pipelines, analytics tools, and applying AI techniques to enhance product performance and operational efficiency in manufacturing operations.

The Data Architect will define and maintain data architecture, drive data solutioning, establish governance frameworks, guide implementations, and collaborate with teams in the healthcare sector.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

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

This role involves providing technical support, implementing, and maintaining enterprise IT infrastructure, including troubleshooting, system upgrades, and supporting disaster recovery planning.

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.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

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.

The intern will set up and deploy data processing pipelines, collaborate with clients for feedback, and conduct research for product innovation in fraud detection and automation.

The role involves driving AI and Data governance strategies, collaborating across teams, assessing data and AI risks, and improving data quality initiatives within the bank.