Top Data Jobs in Singapore

Coordinate and support end-to-end delivery of telecommunications, P2P connectivity, and cloud projects. Monitor progress, manage risks, engage vendors and cloud providers, maintain documentation, track billing milestones, and ensure customer-centric handover. Provide network troubleshooting, use monitoring tools, and pursue relevant certifications to strengthen networking skills.

The Senior Data Scientist will build and manage the intelligence layer of the Railway Common Data Platform, implement machine learning solutions, and enhance operational efficiency through data analytics and AI capabilities.

Analyze operational, financial, maintenance, and resident feedback data to identify trends and service gaps. Develop and maintain dashboards and KPIs, automate reporting, improve data governance, and provide actionable insights to operations and management. Prepare presentations and support ad-hoc studies to inform strategic planning and enhance resident experience.

Lead NTT DATA's relationship and P&L for strategic Financial Services accounts. Develop and execute client account plans, drive cross-practice sales, grow revenue and margin, manage global partner relationships, reduce churn, and align stakeholders to a unified vision.

Lead development and deployment of Generative AI solutions for underwriting using OpenAI services. Collaborate with engineers and stakeholders to prepare large datasets, build advanced ML models, standardize best practices, and scale AI solutions globally while communicating results to technical and non-technical partners.

Design, build, and maintain scalable ETL/ELT pipelines using Informatica IDMC, PowerCenter, and dbt. Support BI, analytics, and reporting by implementing ingestion, transformation, and loading processes, ensuring data quality. Perform data modeling, schema design, performance tuning on Redshift, PostgreSQL, and Oracle, and lead cloud migration initiatives.

Analyze large-scale datasets to identify opportunities and optimize product performance; build dashboards and visualization tools; assist in developing scalable data pipelines to support operations and platform security; and collaborate with product, engineering, and legal teams to turn analyses into actionable business strategies.

Work on large-scale data: analyze datasets, build dashboards and scalable data pipelines, collaborate cross-functionally, and apply AI tools (LLMs, RAG, agents) to automate analysis and surface product insights. Complete a mentored, data-driven internship project and support operational and security analytics.

Work on data-driven projects to improve WeChat safety strategies: analyze large datasets, build dashboards and visualizations, develop scalable data pipelines to support operations and platform security, and collaborate with product, engineering, and legal teams to turn analytics into actionable strategies.

Lead and deliver multiple concurrent projects or programs from concept to implementation across geographies and technologies. Manage stakeholders, budgets, scope, change control, risks, issues and escalations. Act as primary client contact, ensure quality and satisfaction, coordinate teams, and support pre-sales and proposals when required.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

The Data Strategy & Analytics Manager drives digital growth through analytics in marketing, campaign performance, and customer journey optimization. They lead data initiatives to enhance acquisition effectiveness, support strategic decision-making, and optimize user experiences, overseeing collaboration across various teams.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Document Controller coordinates document management across Design Engineering and Construction projects, ensuring accessibility, compliance, and effective communication among teams and stakeholders.

Lead early-stage technical development for APAC data center projects: perform site feasibility and due diligence, develop conceptual engineering and layouts, assess power and utility options, estimate CAPEX and schedules, manage stakeholder and authority engagement, identify risks and mitigations, and support transition to design and construction teams while aligning technical solutions with commercial strategy.

Lead end-to-end delivery of data and analytics transformation projects for trading desks: manage governance, scope, risks, budgets, vendors, and stakeholder alignment; embed PM standards, support change management and benefit realization, and collaborate with data engineers and platform teams to unblock technical delivery.

Client-facing technical leader who designs AWS cloud architectures, supports pre-sales and deal shaping, builds demos/PoVs, advises stakeholders, and supports proposals and RFPs for Singapore public sector and healthcare digital transformation.

Design and deploy ML and RL solutions for air traffic optimization including transformers and RL agents; build RAG and LLM evaluation pipelines; implement MLOps with Kubeflow/Airflow, Docker/Kubernetes, MLflow/W&B; monitor models, automate pipelines, and collaborate with engineering teams for production integration.

Build, operate, and harden a cloud-native data platform on Kubernetes using IaC and GitOps. Provision and run lakehouse, streaming, orchestration, and managed DB services; implement governance, self-service interfaces, SLIs/SLOs, runbooks, incident response, upgrades, and platform security to keep multi-tenant data infrastructure reliable and scalable.

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Lead analytics-driven product roadmap for casual mobile games to improve retention, engagement, and monetisation. Define KPIs and measurement frameworks, design and evaluate A/B tests, translate player behaviour into product requirements, drive segmentation and personalization, partner with engineering on event tracking and data quality, research industry benchmarks, and apply AI tools to streamline analytical workflows and decision-making.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.

Lead seismic fieldwork and data acquisition; develop and apply AI/deep-learning methods for seismic preprocessing, quality control, denoising, and workflow optimization; manage and curate datasets; support seismic imaging analysis, documentation, and collaboration to deliver research objectives.

Partner with Global Growth to design and ship experiments, optimize the self-serve onboarding funnel across stripe.com and dashboard, build ML and statistical models, run causal inference and experimentation, deploy models, and drive measurable product and business impact.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.