Top Data Jobs in Singapore

Design, build, and maintain data models, ETL pipelines, dashboards, and APIs to support industry models, research, and consulting. Ensure data accuracy, completeness, and observability while integrating new datasets and cloud infrastructure. Collaborate with analysts and stakeholders to deliver robust, modular production data systems with minimal supervision.

Partner with APAC Compliance teams to deliver regulatory reporting, compliance monitoring, risk analytics, and assurance reporting. Build scalable data models, dashboards, and self-service analytics tools while validating regulatory submissions and supporting automated monitoring. Maintain data quality, governance, and documentation, and collaborate with Risk, Compliance, Product, and Engineering stakeholders. The role requires strong SQL and data modeling skills, with opportunities to use dbt, modern data warehouses, data engineering tools, and Python.

Lead Databricks’ enterprise sales organization across Malaysia and Indonesia, managing Enterprise Account Executives and owning team quota attainment. Develop strategic revenue plans, grow consumption among strategic financial services accounts, build executive customer and partner relationships, and translate technical data and AI capabilities into business value. The role requires Bahasa fluency, extensive enterprise software sales leadership, strong Data and AI expertise, hyperscaler relationships, and a proven record of developing high-performing teams.

Develop and deploy AI, machine learning, GenAI, automation, and analytics solutions for Group Risk Management. Partner with business, technology, data engineering, and data science stakeholders to define requirements, deliver use cases, and influence decisions. Guide teams on model selection, GenAI cost estimation, benefit realization, governance, privacy, and responsible AI. Maintain existing solutions, promote AI adoption, and oversee analytics work across risk departments.

Design and deploy AI, automation, data integration, and web application solutions across APAC. Responsibilities include building ETL pipelines, developing AI and machine learning models, creating Power Platform solutions, maintaining applications, gathering requirements, supporting project delivery, and ensuring data and AI governance. The role also involves stakeholder collaboration, presentations, training, troubleshooting, and continuous process improvement.

Builds and maintains fraud and financial crime analytics capabilities, including rule-based and machine learning models, detection algorithms, dashboards, and model governance. Responsibilities include data wrangling, exploratory analysis, feature and model selection, model testing, recalibration, bias assessment, regulatory response, and stakeholder communication. The role also identifies analytics opportunities, supports high-priority projects, and recommends advanced data science practices across the bank.

Supports EHS governance for general contractors across data center construction and operations. Responsibilities include onboarding and qualification reviews, compliance documentation, site data management, dashboards, audit and inspection support, corrective action tracking, field observation administration, performance reporting, and lessons-learned activities. The role analyzes EHS trends, verifies corrective actions, maintains accurate records, and supports continuous improvement while working with EHS managers and contractor teams.

Build and operate scalable financial market data infrastructure, including source evaluation, ingestion, cleansing, modeling, real-time and batch processing, quality governance, reconciliation, monitoring, and data services. Develop Flink-based pipelines supporting trading, research, and AI applications. Partner with product, trading, compliance, procurement, and engineering teams to define data contracts, source strategies, and consistent financial data semantics across markets.

Designs and maintains data pipelines, models, storage solutions, dashboards, and analytics frameworks for rail asset management. Analyzes asset data to identify trends and support decision-making, ensures data quality and accessibility, translates stakeholder needs into technical specifications, and collaborates with LTA teams, rail operators, and manufacturers on implementation, testing, and commissioning.

Supports HR operations across the employee lifecycle, including onboarding, benefits administration, employee relations, offboarding, compliance, organizational change, HRIS data management, reporting, and employee record maintenance. The role collaborates with departments, contributes to HR initiatives, ensures data accuracy, and supports HR projects under general supervision.

Leads advanced data analysis projects using statistical models and predictive techniques to solve complex business problems. Develops dashboards, visualizations, insights, and recommendations for senior stakeholders while partnering with business leaders on data-driven improvements. Mentors junior analysts and independently manages high-visibility analytics initiatives.

Leads APAC finance and accounting across multiple jurisdictions, overseeing reporting, close processes, audits, tax, treasury, financing, controls, compliance, M&A integration, and process transformation. Advises senior leaders, investors, lenders, auditors, and regulators while building and developing a high-performing regional finance organization. Supports business expansion, capital deployment, governance, and operational excellence across the APAC portfolio.

Own production data platform reliability, monitoring, observability, incident response, data quality controls, and operational improvements. Build automated monitoring and validation frameworks for Databricks and Airflow environments, define SLAs and SLOs, conduct root cause analyses, maintain runbooks, and support production data products. Partner with engineering, platform, governance, and business teams to improve resilience and supportability while mentoring junior engineers.

Leads sustainability strategy and environmental initiatives across data centre sites. Responsibilities include improving energy efficiency and PUE, procuring renewable energy, managing carbon and water metrics, implementing waste reduction programs, maintaining green certifications, preparing sustainability disclosures, and ensuring regulatory compliance. The role also coordinates onsite teams, contractors, engineers, executives, and international clients while integrating sustainability requirements into data centre construction and operations.

Leads the PMC team delivering a data centre new build, overseeing project administration, construction milestones, commercial and contract management, procurement, critical equipment schedules, authority approvals, design coordination, quality, safety, and sustainability certification. The role coordinates clients, consultants, contractors, and local authorities while managing scope, budget, schedule, claims, variations, and technical delivery.

Supports humanities, arts, and social science researchers through coding, digital methods, data collection and analysis, cloud services, and web or mobile application development. Responsibilities include training researchers, maintaining the Centre website and portal, supporting technical research proposals and publications, managing software development guidelines, and improving research services. The role also involves ethical data scraping, dataset preparation, academic events, and staying current with relevant software development practices.

Provides technical and methodological support for digital humanities, arts, and social sciences research. Responsibilities include coding, dataset collection and preparation, web and mobile application development, cloud service support, website maintenance, digital methods training, research proposal assistance, software development standards, and service improvement. The role also supports academic events and collaborates with researchers and technical teams across NTU and Singapore.

Applies data science, operations research, predictive analytics, forecasting, simulation, and optimization models to air network planning and operational decisions. Operates and supports AI, machine learning, and generative AI solutions in GCP using services such as BigQuery, Vertex AI, and Gemini. Analyzes complex datasets with SQL and Python, develops dashboards and reporting tools, evaluates scenarios, supports process improvement, and communicates recommendations to technical and business stakeholders.

Develop and maintain ETL data pipelines, optimize data flow and delivery, automate manual processes, and design scalable data infrastructure. Gather telemetry data to improve system efficiency and business metrics. Collaborate with cross-functional teams on requirements and data products, using databases, workflow tools, microservices, and APIs. Preferred experience includes Agile development, monitoring, fault-tolerant pipelines, big data technologies, and search engines.

Support the Business Development team by preparing market strategy reports and statistical analyses, building Qlik or Excel dashboards, and evaluating investment opportunities. Deliver accurate, efficient data-driven insights to inform BD strategies.

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.