Top Data Jobs in Singapore

As a Data Engineer (Compliance), you will manage SQL scripts for compliance monitoring, handle data governance, and ensure regulatory compliance while collaborating with various stakeholders.

The Senior Data Scientist leads technical initiatives, develops deep learning models, and mentors junior team members while working directly with customers to build impactful AI solutions.

The Principal Data Scientist will lead technical initiatives, develop deep learning models, manage data pipelines, and mentor junior team members while collaborating with customers and engineers to create impactful AI-driven solutions.

Lead the Service Management practice following ITIL v4 principles, ensuring performance management and continuous improvement across services while managing stakeholders and suppliers for successful service delivery.

Lead the design of AI infrastructure solutions using NVIDIA and HPE technologies for enterprise clients, focusing on hardware architecture, software integration, and cloud solutions.

The VP, Lead Functional Business Analyst will manage stakeholder relationships, oversee requirements analysis, and lead a team of business analysts focusing on AML and KYC processes within the bank.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

The Manager, Data Solutions Sales Enablement supports regional data solutions strategy, collaborates with teams, and tracks product performance while developing documentation and communication materials.

The Data Processing Specialist will assist in records management and data privacy efforts to support customer needs at Iron Mountain.

The Data Steward manages data governance, quality, and analytics for the site's master and transactional data, ensuring compliance and driving operational excellence through data insights and digital solutions.

The role involves selling data management and AI platforms to enterprise customers, focusing on new customer acquisition and account growth through strategic positioning of modern data solutions.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

The Senior Associate Business Intelligence Analyst transforms data into insights for decision-making, creating reports and visual analytics, and collaborating with teams to optimize data use.

The Master Data Specialist ensures accurate master data management by validating data for SAP, advising customers, and enhancing data quality while managing urgent requests.

This role provides leadership in Regulatory Affairs focused on process support, data integrity, and compliance in the APAC region, collaborating with local and regional RA teams and stakeholders.

Develop and implement data science models and algorithms, analyze complex data sets, ensure data quality, and collaborate with stakeholders to optimize data processes.

The Cloud Services Sales Specialist identifies, develops, and closes cloud managed services deals, engaging with clients and internal teams. They build strong client relationships and drive the sales process while addressing client needs and objections.

As an AI/Model Governance Intern, you'll support AI governance processes, maintain model inventory systems, ensure data quality, and contribute to projects on AI risk management.

Seeking a Data Engineer with 4-6 years of experience in big data technologies, data pipelines, and databases, mainly in the financial services sector.

Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.

The Logistics Data Analyst is responsible for data collection, analysis, and visualization to support decision-making and improve company processes.

Lead the development and deployment of AI models focusing on computer vision and text processing. Responsible for enhancing model performance and collaborating with teams to meet business needs.

Develop and deploy product disposition solutions, advance data analysis using AI/ML, mentor team members, and collaborate cross-functionally to enhance product quality and yield.

The Data Engineering AVP will lead technical delivery for large data projects, focusing on developing cloud solutions and managing multiple vendor teams in a financial transformation context.

The Business Analyst will focus on onboarding data points for new products, ensuring data quality for Power BI and Python applications, preparing test scenarios, managing UAT, and coordinating with teams for data migration.