Top Data Jobs in Singapore

Develop and deploy analytics and predictive models to improve logistics operations. Lead cross-functional initiatives, providing insights and fostering data-driven decision-making.

Support APAC e-commerce analytics by analyzing UX/UI performance and D2C and marketplace metrics, deriving insights and actionable recommendations to improve key digital and marketplace KPIs while working with the Marketing team.

Develop, train, evaluate, and optimize machine learning and deep learning algorithms and models for audio/video surveillance. Perform data collection, preprocessing, feature engineering, and labeling. Integrate models into products, optimize inference on various platforms, research SOTA techniques, and document experiments and results.

Senior individual contributor who shapes International Sports Medicine commercial execution using advanced analytics and AI Agents. Develops and owns AI-enabled decision support, dashboards, data infrastructure, automation, and governance. Acts as product owner for AI agents, translates market and account data into actionable insights, leads strategic initiatives, provides market sizing and intelligence, and prepares leadership reporting and KPIs to track execution and corrective actions.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

The Infra Product Manager will develop algorithm platforms and Web3 search systems, integrate AI capabilities, analyze on-chain data, and ensure product delivery quality.

The intern will solve deep learning and computer vision tasks, design and deploy models, develop tests, and communicate with the team.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

Design, build, and maintain a unified data framework, scalable data pipelines, and data models. Improve data ingestion, quality, monitoring, and governance; troubleshoot pipeline issues; optimize performance; integrate third-party tools; and apply AI techniques to enhance data quality and engineering workflows.

Provide hands-on post-sales technical support for enterprise storage customers: troubleshoot, resolve, escalate issues, perform field services (installs/upgrades), manage feature requests/bugs, and collaborate with sales, professional services, and engineering.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Gather and analyze business and risk user requirements; produce functional designs and specifications for market risk systems; assess impacts; create and execute test plans (UAT, regression, simulation); support BAU including data sourcing, extraction, and analysis for Market and Liquidity Risk Data Store; manage delivery timelines.

Lead design and rollout of AI governance for Group Operations, ensuring AI/ML (including GenAI and third-party models) comply with enterprise RDU/PURE policies and regulations. Oversee use-case reviews, centralized prompt management, data enablement, infrastructure standardization, committee reporting, stakeholder engagement, and practitioner training.

Lead development and maintenance of a bank-wide Data and AI risk management framework. Assess new initiatives, conduct risk reviews, embed controls across data and AI lifecycles, monitor data quality and KRIs, advise business units, align with regulations and industry best practices, and report risks and mitigation strategies to senior management.

Lead development and implementation of AI governance frameworks, create playbooks and training, validate standards across business units, industrialise governance tooling, run bank-wide governance processes, and advise stakeholders on responsible AI practices.

The Senior/Lead Data Engineer designs and optimizes data solutions on Alibaba Cloud, develops data pipelines, manages data warehouses, and ensures data quality and compliance.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

Lead architecture and delivery of post-trade data systems, designing near-real-time and historical data pipelines. Drive technical roadmap, mentor engineers, implement robust testing and monitoring, resolve incidents, and integrate analytics technologies to support trading product features and operational stability.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

Sell security technology solutions by generating pipeline, engaging clients and stakeholders, leading workshops, supporting pre-sales, designing tailored security solutions, maintaining subject-matter expertise, managing account plans, and collaborating with sales and vendor partners to close deals and meet revenue targets.

Assist in developing backend services and APIs for WeChat, build large-scale data pipelines, and contribute to data streaming infrastructure while collaborating with teams.

Triage and resolve Master Data Management (Party, Risk, Reference) issues in Stibo STEP, run targeted data-cleansing sprints, monitor data quality dashboards, support releases/UAT, and maintain documentation and playbooks to prevent recurring data issues.

Manage pre- and post-contract cost services for complex construction projects, focusing on data centre MEP/CSA packages. Produce estimates, cost plans, tender documentation, cost reports, cashflows and forecasts. Lead tendering, change control, value engineering and cost optimisation. Interface with clients, contractors and vendors, support governance and risk management, and mentor junior cost staff while improving cost processes and benchmarking.