Top Data Jobs in Singapore

Develop, implement and maintain machine-learning credit risk models for consumer, small business and wholesale portfolios. Monitor and back-test model performance, support model governance and validation, engage auditors/regulators, and collaborate with stakeholders to apply model outputs to decisioning, allowance and capital assessment.

The role involves designing and maintaining data pipelines, collaborating with stakeholders, ensuring compliance with regulations, and mentoring junior members. Requires data engineering and science expertise.

The Data Engineer 2 will design, develop, and maintain data pipelines, frameworks, and models, ensuring data quality and governance while collaborating with scientists and analysts.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

Design, develop, and maintain ELT/ETL Snowflake data warehouse solutions; implement data standards, CI/CD, monitoring, and production support; collaborate with product, business, and vendors; mentor junior developers and improve data engineering practices.

Senior Application Solutions Sales Specialist responsible for driving enterprise application sales, building client relationships, coordinating with technical and delivery teams, and meeting revenue targets. Represents NTT DATA's application and digital services in a hybrid working model.

The role involves developing and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.

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.

Abstract and enter clinical data from healthcare records, apply clinical operations policies, troubleshoot VPN/MFA access, maintain confidentiality, and provide guidance to less-experienced team members while ensuring data quality and workflow adherence.

Lead Commercial Data Products roadmap for retail, eCommerce, sales and trade promotion domains. Gather stakeholder requirements, translate to technical specs, prioritize features, define KPIs, and partner with data engineering, visualization and AI teams to deliver measurable business value.

Design, build, and maintain large-scale batch and real-time data pipelines and data platform artifacts (tables, marts, views). Perform extraction, cleaning, transformation, and web scraping. Integrate data silos, develop backend APIs, ensure data governance, and collaborate with cross-functional teams in an Agile CI/CD environment.

Build and maintain end-to-end data pipelines and medallion data lake architectures on Databricks and AWS. Implement data governance with Unity Catalog, ensure data quality, prepare analytics-ready datasets, support basic ML pipelines, and collaborate with stakeholders to meet reporting and BI needs.

Lead development and execution of enterprise data governance and strategy. Establish governance frameworks, drive data quality and MDM initiatives, define enterprise data models, collaborate with stakeholders to improve data architecture and accountability, and prepare governance reporting. Explore AI-driven tools to enhance governance.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

Lead Group Market Data category and IT software strategic sourcing: establish governance, optimise spend and licensing, drive sourcing strategies, negotiate complex vendor contracts, manage vendor relationships, and partner with Technology, Risk, Finance and business stakeholders to deliver compliant, cost-effective outcomes.

Lead transformation of actuarial processes through automation, analytics, and AI. Identify use cases, define requirements, support solutioning, testing and UAT. Manage actuarial data and build reusable analytics pipelines for persistency and claims, improving data quality, lineage and reporting. Support AI pilot delivery and scaling for actuarial reporting and MI.

Lead modernization of actuarial reporting through automation, process redesign, enhanced analytics and AI. Manage PACS/FFP+ projects, define actuarial AI roadmap, deliver pilots and scaled solutions, and coordinate cross-functional stakeholders to improve reporting efficiency, controls, and actionable insights.

Design, build and test prototypes using emerging technologies (AI/GenAI, autonomous agents, multimodal AI, quantum). Collaborate with product, design, and engineering teams to iterate, showcase proofs-of-concept, and drive adoption across the bank while researching frontier tech and enabling rapid experimentation.

Lead strategic foresight and innovation intelligence: research emerging trends, generate actionable insights, build and run sensing communities, engage external ecosystem, and present recommendations to senior leadership to inform DBS's innovation strategy.

The International Sector Analyst will conduct deep research to provide insights on industries, support investment decisions, and collaborate with data scientists and investment professionals.

The Network Technology Sales Specialist engages with clients, identifies opportunities, presents solutions, manages sales processes, and fosters relationships with senior executives to drive growth for NTT DATA.

The role involves analyzing datasets, developing dashboards, building data pipelines, and collaborating with teams to translate findings into business strategies.

Conduct data analysis and machine learning to improve account safety on WeChat, track fraudulent accounts, and detect anomalies.

Lead commercial technology and data initiatives for EMEA commercial teams: manage cross-functional projects, drive adoption of SFA/TPM/CRM tools, ensure compliance (SOX, GDPR), perform business analysis, change management, stakeholder engagement, and SLA/vendor management.