Top Data Jobs in Singapore

Design and implement advanced smart manufacturing solutions in scheduling, mathematical optimization, and discrete event simulation. Build data analytics and applications to provide actionable insights, collaborate globally to deploy solutions across manufacturing sites, and integrate AI/OR hybrid methods to improve production performance and benchmarking.

Analyze semiconductor manufacturing data to identify yield detractors, reduce process variation, and improve device yield. Build data pipelines and automated processes using data from SQL databases, sensors, and fabrication tools. Apply statistical modeling, machine learning, and DOE analysis to solve production issues and support root cause investigations. Create dashboards and reports with visualization tools, collaborate with process engineering teams, and responsibly use AI-enabled tools to improve manufacturing outcomes.

Lead data science strategy for AML and financial crime risk controls. Develop AI-powered screening, entity resolution, graph and network intelligence, anomaly detection, transaction monitoring, and proactive discovery of emerging threats. Partner with Product, Engineering, Compliance, and Operations to deliver scalable production controls, influence the roadmap, establish reusable frameworks, and mentor data scientists.

Summer analysts will build and deploy machine learning, generative AI, and agent-based solutions; integrate complex datasets; develop predictive models; run experiments; analyze trends; and deliver actionable insights. They will also support data governance, risk management, data quality, privacy, and regulatory controls while collaborating with agile, cross-functional teams. The program includes mentorship, training, and potential full-time opportunities after graduation.

The Enterprise Account Executive, Acquisition role focuses on developing a sales strategy within a territory for new customer acquisition, meeting sales targets, and collaborating with Solutions Architects and Professional Services teams.

Build, automate, and operate enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud technologies. Responsibilities include Infrastructure as Code, CI/CD, GitOps, platform provisioning, reliability engineering, observability, security, governance, incident remediation, performance optimization, and FinOps. The role supports multi-environment deployments and self-service capabilities for data engineering and analytics teams.

Supports Singapore arts and culture data projects by extracting, cleaning, transforming, analyzing, and modeling data. Builds dashboards and visualizations using Excel, AWS QuickSight, SQL, Python, and Tableau; documents data practices; and contributes to a new data warehouse and visualization platform. The role also provides exposure to stakeholder engagement, knowledge management, and organizational adoption of data solutions.

Design, build, and maintain scalable data pipelines, data lakes, and databases; ingest and map customer financial datasets; monitor pipeline reliability; translate business requirements into data flows and analytical insights to ensure high-quality, usable data.

Supports data centre development and acquisition advisory work through site assessment, technical feasibility studies, capacity planning, utility reviews, market and technical research, data analysis, and preparation of reports and presentations. Collaborates with engineering and multidisciplinary teams on greenfield developments and existing asset evaluations while developing insights for strategic and client-facing decisions.

Supports data centre client onboarding, account transitions, operational readiness, SOP documentation, asset validation, CMMS updates, stakeholder coordination, reporting, and administrative project activities across Singapore and the APAC region.

Leads APAC data center development opportunities from site identification through land acquisition and execution readiness. Oversees technical and commercial due diligence, feasibility, utility strategy, permitting, risk management, governance, investment approvals, and portfolio reporting. Coordinates internal teams, consultants, landowners, utilities, regulators, and other stakeholders while preparing business cases and investment recommendations for executive leadership. Provides oversight of budgets, schedules, contracts, risks, and development pipeline performance.

Develop and deploy agentic AI solutions using Python and Azure ML, translate business needs into scalable data science systems, and help architect an open-source framework for autonomous agents. The role includes rapid experimentation, production deployment, customer collaboration, mentoring researchers and developers, contributing to open-source and academic communities, and publishing technical work.

Leads a logistics data and analytics team, setting the analytics roadmap and delivering insights on geographic operations, fleet performance, delivery efficiency, and cost optimization. Develops performance metrics, semantic data models, AI-enabled data products, forecasting solutions, and decision-science analyses. Partners with senior logistics and operations stakeholders, communicates executive-ready recommendations, and builds a high-performing analytics organization.

Leads concurrent client projects and programs from concept through implementation, managing scope, budgets, schedules, risks, quality, change control, stakeholders, escalations, and client satisfaction. Coordinates project teams, supports presales proposals, develops client relationships, and ensures successful transition to operations while achieving business objectives and strategic benefits.

Analyze large datasets using SQL and Python, maintain recurring analyses and data products, perform quality checks, investigate discrepancies, and identify trends. Collaborate with Research, Engineering, and Product teams to resolve data issues, document findings, and improve analytical workflows through automation and AI tools. The role is designed for an early-career analyst who is detail-oriented, curious, and interested in using data to inform investment decisions.

Administer, configure, support, and optimize Workday HCM and related modules, including reporting, integrations, security, testing, releases, data governance, and compliance. Translate HR business requirements into functional and technical solutions, troubleshoot integrations, support organizational changes and transformation initiatives, coordinate UAT, and provide user training and documentation. Partner with HR, Payroll, Finance, IT, and vendors in a global operating environment.

Connects marine, data, and delivery teams by integrating and validating shipping data, analyzing large datasets with SQL, translating business needs into technical requirements, and coordinating Agile delivery. Applies marine and dry bulk shipping expertise across vessels, voyages, ports, cargoes, bunkers, and operations while supporting predictive analytics, data quality, stakeholder management, testing, and implementation.

Manage and govern the bank’s enterprise Power BI platform, including Microsoft Fabric capacity, workspaces, gateways, access controls, reporting standards, deployment, monitoring, and performance optimization. Lead Power BI development practices, SQL-based data integration, Python automation, Jenkins workflows, and release management. Partner with engineering, infrastructure, security, governance, vendors, and business stakeholders to deliver secure, scalable, compliant analytics solutions while mentoring developers and coordinating concurrent initiatives.

Lead design and deployment of agentic AI for manufacturing planning and operations. Build multi-agent systems combining LLM reasoning and optimization (MIP, heuristics, simulation), integrate agents with data pipelines and enterprise systems, and deliver solutions for capacity planning, production flow optimization, and decision automation. Partner with planning, operations, data engineering, and MLOps teams to translate domain requirements into deployable AI workflows and reusable orchestration frameworks.

Analyze manufacturing, inventory, and supply chain data; monitor supply risks; support forecasting; review planning parameters and system compliance; present insights; build automated reports and dashboards; use AI tools to improve processes; and contribute to continuous improvement and digital transformation initiatives.

Owns the lifecycle and prioritization of corporate data products, including dashboards, datasets, analytics, and AI-enabled solutions. Partners with business, engineering, data science, and AI teams to translate business needs into use cases, coordinate delivery, drive adoption, and measure value. Leads data stewardship and quality efforts by establishing definitions, rules, ownership, and governance practices across Corporate Functions.

Leads concurrent client IT projects and complex transformation programs from concept through implementation and operational handover. Manages scope, budgets, schedules, risks, issues, change control, governance, quality gates, stakeholder relationships, escalations, and client satisfaction. Coordinates multi-tower outsourcing transitions across infrastructure, cloud, network, service desk, and managed services. Supports presales activities, proposals, solution costing, client presentations, and commercial opportunities.

Support investment teams by acquiring, cleaning, and analyzing diverse datasets to test investment theses. Learn fundamental investor approaches, identify key data drivers and inflection points, and present research findings. Work with existing and new data to generate insights and decision-support tools for sector-focused investment research.

Supports Disney+ APAC subscriber analytics by producing SQL reports, cleaning and analyzing data, creating visualizations, maintaining data pipelines, and identifying insights for marketing, acquisition, retention, finance, strategy, and commerce teams. The intern also helps automate dashboards and translate business questions into data-driven recommendations.

Supports APAC marketing analytics for Disney+ by measuring campaign performance, designing tests, analyzing subscriber cohorts, building dashboards, maintaining data pipelines, and translating findings into recommendations. Uses SQL and Tableau to analyze marketing channels including paid media, email, push, and in-app campaigns. Collaborates with regional marketing stakeholders and local teams to improve acquisition, engagement, retention, and winback initiatives.