Top Data Jobs in Singapore

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

Supports banking compliance and data transformation initiatives across AML, KYC, financial crime, regulatory reporting, and data governance. Gathers requirements, facilitates stakeholder workshops, performs data analysis and mapping, documents user stories and functional specifications, assesses data quality, and supports UAT, project governance, and successful delivery across business and technology teams.

Designs and evolves enterprise data architecture supporting global manufacturing, supply chain, procurement, logistics, quality, and engineering operations. Defines data models, integration patterns, governance standards, metadata, lineage, and reusable data products across enterprise systems and cloud platforms. Partners with engineers, architects, AI specialists, governance teams, and business leaders to enable analytics, AI, digital twins, reporting, and smart manufacturing initiatives.

Develop machine learning, statistical, optimization, computer vision, Generative AI, and Agentic AI solutions for smart manufacturing. Analyze operational data, build production-ready AI applications, support cloud deployment and model monitoring, and collaborate with manufacturing, engineering, supply chain, quality, IT, and software teams to improve quality, productivity, reliability, and decision-making.

Develops, enhances, tests, installs, and documents software applications for internal and external clients. Responsibilities include coding, database maintenance, performance optimization, troubleshooting, platform adaptation, client consultation, requirements analysis, and technical advising. The role requires advanced programming expertise, software development process knowledge, Agile/Scrum experience, cross-functional collaboration, and proficiency with Java, additional programming languages, operating systems, and SQL.

Entry-level Product Data Analyst internship supporting product analytics: build and analyze conversion funnels, evaluate A/B tests, create dashboards, respond to ad-hoc data requests, write SQL pipelines, monitor data quality, and translate findings into visual summaries to inform product decisions.

Own the end-to-end lifecycle of data-driven derivatives product initiatives, from identifying opportunities through launch and optimization. Analyze trading and user behavior data, define product roadmaps and success metrics, design experiences that improve engagement and conversion, and collaborate with Engineering, UX, Marketing, Compliance, and global stakeholders. The role requires derivatives trading knowledge, strong analytical and product management skills, bilingual English/Mandarin communication, and experience shipping data-driven products.

Supports enterprise data governance initiatives across data lineage, data quality, data catalogues, taxonomy, discovery, and impact analysis. Assists with data analysis, reporting, dashboard development, stakeholder requirements, process improvements, and ad hoc risk-management projects. The internship provides exposure to BCBS239 principles, regulatory reporting, data governance frameworks, and tools for managing enterprise data assets.

Leads client-facing business and technology transformation engagements across Asia Pacific, with emphasis on AI adoption and workforce transformation. Conducts discovery workshops, analyzes business and IT challenges, develops strategies and solution proposals, estimates project effort, and supports solution integration. Advises senior stakeholders, manages complex client accounts, contributes to business development and pre-sales, and maintains expertise in industry trends, technology, business processes, and change management.

Designs and delivers data architecture solutions, creates secure production code, evaluates technologies, guides architecture governance, and applies AI-assisted practices to improve data frameworks, resiliency, and security.

Design and deploy real-time ML models and credit risk frameworks to detect fraud and assess merchant lending risk. Translate business needs into scalable analytics, monitoring, and decision-support tools. Partner with product, engineering, and operations to productionize models and improve risk visibility and decision quality.

Summer internship applying data science, AI, software engineering, analytics, and automation to manufacturing and business problems. Interns analyze datasets, build dashboards/reports, develop automation or software solutions, and present findings to improve operational efficiency and support digital transformation.

Serve as ASOs single front door for Operations demands across Asia, translating business needs into prioritized initiatives, managing demand pipeline, shaping improvement using AI/data/APIs, and coordinating stakeholders to deliver operational efficiency, compliance, and value realization.

Lead data acquisition and partnership activities for Transport AI, developing a prioritized multimodal data roadmap, negotiating data access with agencies and industry, enforcing data standards and governance, building secure ingestion platforms, and working with legal, cyber and AI teams to onboard datasets for analytics and AI use cases.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

Coordinate product-line efforts and portfolio metrics to drive operational improvements. Develop change initiatives and timelines, maintain FITS inventory, troubleshoot entitlement issues, handle client tickets per SLA, perform month-end activities, manage market-data system testing/validations (DACS, EMRS), liaise with vendors, and maintain controls and documentation.

Manage and optimize high-load Microsoft SQL Server databases, including advanced T-SQL development, query and execution-plan optimization, indexing, locking, memory, disk performance, AlwaysOn availability, maintenance, recovery, security, integrity checks, monitoring, and incident resolution. Support analysts and ML engineers with reliable data access across databases reaching tens of terabytes.

Build and maintain scalable enterprise data platforms, pipelines, integrations, and reusable data products for global manufacturing operations. Implement data governance, quality monitoring, metadata, lineage, and master data practices. Develop cloud-native, batch, streaming, and event-driven solutions supporting analytics, AI, reporting, smart factories, and digital twins. Collaborate with architects, engineers, data scientists, and operations stakeholders while applying DevOps, observability, and CI/CD practices.

Analyze e-commerce data across Reolink’s official website and Amazon platforms to generate insights, improve profitability and performance, and support product decisions. Build data pipelines, dashboards, APIs, and e-commerce metrics systems; validate data quality, investigate issues, and collaborate with product management, engineering, design, and data engineering teams to drive data-informed growth.

Coordinates local and overseas Community Immersion Programme projects from planning through follow-up. Manages timelines, stakeholders, logistics, mentor and partner matching, participation tracking, reporting, dashboards, and feedback analysis. Uses data, digital tools, automation, and AI applications to improve programme processes and efficiency while supporting programme growth and stakeholder engagement.

Analyzes international trade, tariff, customs, shipment, and trade agreement data; prepares reports and recommendations on risks, costs, duty optimization, and trade strategy. Monitors import/export compliance across China, Europe, and Asia, maintains SAP/MIC trade data, resolves discrepancies, supports customs reconciliation, researches regulatory changes, and identifies automation and process improvement opportunities. Collaborates with logistics, supply chain, finance, legal, compliance, and regional trade teams.

Lead end-to-end SAP data migration for large-scale S/4HANA implementations and global rollouts. Define migration strategy and governance, oversee data assessment, cleansing, extraction, transformation, validation, mock loads, cutover, and go-live support. Manage migration tools, data quality, reconciliation, stakeholder workshops, distributed teams, testing, risk tracking, and executive reporting across business functions and countries.

Maintain bond and issuer reference data across treasury systems, ensuring accurate attributes, timely request processing, and adherence to SLAs and controls. Investigate data issues, collaborate with dealers, finance, custodians, and processing teams, and support UAT, process documentation, STP improvements, and data transformation initiatives. The role requires financial markets knowledge, bond settlement experience, strong analytical skills, and proficiency with Murex, Bloomberg, custodian systems, and Microsoft 365.

Lead and coordinate card-network financial integrity programs (fraud, disputes, chargebacks). Maintain governance, trackers, remediation, controls, and documentation. Translate network requirements into internal policies and playbooks, coordinate cross-functional remediation, prepare leadership/audit materials, identify process gaps, and standardize global program execution across Compliance, Risk, Legal, Product, and Operations.

Build and operate production-grade AI data pipelines and financial knowledge services for equities content. Responsibilities include processing text, tables, documents, and multimedia; creating knowledge bases and search indexes; engineering RAG retrieval and citation systems; integrating LLMs and NLP models; managing orchestration, APIs, quality, cost, observability, reliability, and scalable production operations.