Top Data Jobs in Singapore

Design, develop, and evaluate AI-driven solutions for sustainable living. Collect and preprocess multimodal datasets, build data pipelines and experiments, analyze model performance, iterate on models, and collaborate on publications, reports, and demonstrations.

Manage and deliver HSE oversight for data centre construction projects: conduct site audits and safety walks, report incidents and near-misses, ensure inductions and contractor compliance, prepare monthly safety assessments, and drive corrective actions to achieve zero incidents.

Early-career role analyzing PB-scale on-chain, transactional and customer data. Perform data engineering, ETL, querying, build visualizations and ML models, translate insights for teams, manage reporting environment, secure confidential data, and troubleshoot reports/databases.

Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.

Lead technical pre-sales for enterprise data management: run technical discovery, demos, POCs, solution design, RFP responses, partner enablement, and executive briefings to drive adoption and validate value.

Manage the operational lifecycle of corporate actions and security master/reference data across global markets. Monitor, research, assess, and process corporate action events; maintain and validate reference data; resolve exceptions and control breaks; partner with trading, investment, custodians, vendors, and technology; support projects, testing, automation, and process improvements; and coach or review work of other associates to mitigate operational risk.

Lead DayOne's global Environmental, Health & Safety Center of Excellence to build and govern EHS management systems, certifications (ISO 14001/45001), contractor qualification, audit assurance, incident learning, training, and performance reporting across construction and operational data centers.

Participate in design and development of AI-powered financial trading agents using Web3 data. Perform post-training (SFT, RLHF/RLAIF) of LLMs, build benchmark datasets, iterate workflow prototypes, and assist senior engineers with system design, integration, and deployment.

Internship role to develop and deploy user-growth algorithms: user segmentation, recommendations, LTV/churn/conversion models, A/B testing, causal inference analyses, and collaborate with product and engineering to drive measurable growth.

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

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

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

The Director of Investment will identify, structure, and negotiate investment opportunities, manage due diligence, and mentor junior team members.

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

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

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.

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.

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.

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.

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

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.