Top Data Jobs in Singapore

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

The Senior Data Scientist will analyze complex data sets, apply statistical techniques, and collaborate with teams to influence product strategy and improve business outcomes.

Oversee strategy and architecture of data and AI platforms, resolving challenges, promoting best practices, and mentoring the team.

The Manager, FP&A Data oversees financial data maintenance and builds infrastructure for transforming raw data into strategic insights, utilizing SQL, Python, and AI-driven solutions to automate processes and enhance data governance.

Lead strategic initiatives to enhance business processes, improve operational efficiency, and drive measurable outcomes by collaborating with stakeholders and global teams.

The Data Analyst will transform business goals into technical logic for BI, design reports, guide users in data interpretation, and develop frameworks for growth and profitability.

As a Senior Data Engineer, you'll design and maintain data pipelines, translating complex requirements into scalable solutions using Python, collaborating with teams to deliver actionable insights in an Agile environment.

Join the Sanofi Manufacturing Innovators Program as a Data Engineer Trainee, focusing on data integration, process analysis, and collaboration with cross-functional teams in biopharma manufacturing.

Support product managers in app testing, analyze user behavior data, create reports, conduct A/B testing, and improve app features based on user insights.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

Assist in identifying business problems, propose analytics solutions, collaborate with data engineers, develop ML models, create dashboards, and innovate generative AI applications.

As a Senior Data Analyst, you'll influence business decisions by providing insights through data analysis and visualizations, working closely with cross-functional teams.

The Lead Data Scientist will develop multilingual AI models, focusing on dataset creation and model training, while collaborating with product and engineering teams for deployment.

The role involves resolving client solution requirements, managing installations and troubleshooting issues across multiple technologies, focusing on collaboration and networking solutions.

The Manager, Smart Workplace oversees go-to-market strategies, drives sales team performance, and manages operations to achieve business goals.

The Technical Services Systems Integration Specialist provides technical support, engages with clients, escalates issues, and mentors junior engineers while focusing on technical implementations across multiple technologies.

As a Global Client Manager, you will build and manage client relationships, ensuring satisfaction and driving sales growth using strategic planning and Salesforce tools.

The Component Engineer will manage component data integrity, develop data pipelines, analyze material data, and create dashboards for supply chain insights.

The Engineering Data Analyst manages engineering data integrity across PLM/ERP systems, develops data analytics solutions, leads data cleansing initiatives, and partners with various teams to improve data-driven decision-making and supply chain resilience.

The Data Engineer will design, build, and maintain scalable data pipelines and ensure data quality and accessibility for analytics and product systems. Responsibilities include ingesting data, managing storage layers, and enforcing data governance best practices.

The Control and Metrics External Data Analyst will manage external data usage, oversee external data initiatives, and support the Chief Data Officer in implementing the Bank's data strategy.

The Operations Analyst oversees market data management, ensuring accuracy, conducting analysis, and improving operational processes for business divisions in Singapore.

The Senior Reliability Engineer for Mechanical Systems oversees the health of cooling systems, ensuring their operational efficiency through maintenance planning, technical support, and root cause analysis. They work with design and construction teams, providing feedback and training to enhance system reliability and support operational teams in critical situations.

As a Cross Technology Managed Services Engineer at NTT DATA, you will manage technical incidents, enhance service quality, mentor junior members, and ensure compliance with SLAs across various technology domains.

As a Data Scientist, you'll develop predictive models, analyze large datasets, and collaborate with stakeholders to drive data-informed business decisions.