Top Data Jobs in Singapore

Remote annotator reviews Japanese text and images, draws bounding boxes, answers structured questions, and writes short summaries per guidelines to train AI systems. On-the-job training provided; assessment required.

Lead generation and closure of complex, cross-technology solution sales. Build and maintain C-level client relationships, conduct workshops and presentations, collaborate with sales and pre-sales teams, leverage vendor relationships, craft tailored solutions, forecast opportunities, and meet sales targets while contributing best practices to internal knowledge bases.

Lead end-to-end delivery of enterprise data and analytics solutions for retail banking, spanning requirements analysis, solution design, testing, implementation, governance, and production support for ML/NLP-enabled and rule-based decisioning systems.

Lead ETL, data processing, and analysis to generate actionable market intelligence for maritime clients. Build forecasting models, maintain dashboards and reports, support commercial desks with real-time insights, and present findings to stakeholders.

The role involves managing AI and data science projects, engaging stakeholders, and delivering data-driven solutions while leading a team and guiding junior members.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

Lead the strategy and architecture for enterprise data and AI, focusing on design authority, governance, metrics, and capability building.

The Assistant Data Analyst Manager will lead an analytics team, manage stakeholder relations, oversee Power BI projects, and contribute strategically to data initiatives.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

The Data Analytics Lead will work with senior leadership on strategic projects, focusing on high-impact analytics solutions and driving execution for tangible results.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

The Networking Technical Services Systems Integration Specialist provides technical support to clients, documents project specifications, mentors junior staff, and assumes ownership of networking technologies and projects.

Lead and deliver concurrent standard or complex client projects from concept to implementation, manage scope, budget, risks, issues, and stakeholder communications, act as single client contact, support pre-sales, and ensure successful handover to operations.

The role involves providing technical support, engaging with clients, writing documentation, and mentoring junior engineers in Networking implementations.

The Senior Associate Networking Technical Services Specialist is responsible for network installations, troubleshooting, problem resolution, and documenting procedures while developing knowledge in networking technologies.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

Lead regional AFC/AML analytics capability: design, build, validate and deploy AML/fraud detection models; guide country analytics teams; ensure model governance, data suitability, and production readiness across stakeholders and regions.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Lead a team in developing scalable data solutions, mentor engineers, manage expectations, and contribute to code. Focus on high-quality software practices.

Lead technical design, development, and deployment of data platforms, analytics, and AI solutions. Set architecture, standards, and governance; drive MLOps/DataOps practices, model governance, and integration (including robotics). Provide hands-on delivery, technical direction, and mentorship to ensure scalable, secure, and reusable AI capabilities.

Lead data-driven strategies for cross-border payments, manage BI and Data Engineering teams, and enhance business efficiency through data insights.

The Senior Data Scientist will identify fraud patterns, develop machine learning models, collaborate with technical teams, and provide analytical insights to mitigate risks in crypto transactions.

Lead advanced analytics initiatives in compliance domains, translating regulatory requirements, mentoring staff, and ensuring quality and governance standards.