Top Data Jobs in Singapore

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.

The Head of Data Science will lead the data science team across Southeast Asia, focusing on credit risk model development, strategic collaboration, and shaping the machine learning roadmap.

The role involves managing KYC processes, coordinating transaction execution tasks, maintaining databases, and providing administrative support to the Capital Markets team.

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 Data Compliance Analyst is responsible for designing product frameworks for data compliance, monitoring regulations, translating legal requirements into product specifications, and ensuring the upkeep and optimization of compliance products while liaising with cross-functional teams.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI architectures for Salesforce customers, collaborating with various teams to facilitate integration and promote agent interoperability.

The Senior Sales Specialist identifies and pursues leads, establishes client relationships, and collaborates with internal teams to achieve sales targets through solution-based selling.

Lead the design and operationalization of enterprise-scale hybrid cloud environments, creating customized solutions and managing client relationships.

The Enterprise BD Manager will expand and maintain key enterprise accounts, driving growth through strategic relationships and complex solution structures in maritime risk and sustainability.

The Technical Product Manager is responsible for product outcomes across the lifecycle, involving product vision, stakeholder engagement, backlog prioritization, and technical leadership.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

The role involves data management, quality assurance, and analytics, focusing on SQL and Python for data investigation and building dashboards. Responsibilities include project delivery support, requirement gathering, and collaboration with stakeholders.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.

The role involves managing compensation reports, conducting data analysis, proposing solutions, and ensuring compliance in financial operations.

The Data Migration Business Analyst ensures business teams are ready for data migration through communication, coordination, and support during the transition phases. They handle data quality, documentation, and customer interactions to ensure a smooth process.

The Capital Markets Manager supports debt financing transactions and capital planning, collaborates with teams, performs financial analysis, and manages bank relationships to uphold financial objectives.

Lead client-facing implementation projects for Pricing and Reference Data, optimizing processes, managing budgets, and ensuring effective communication across teams while mentoring junior members.

The role involves analyzing data sets, developing solutions using computer vision and machine learning techniques, and communicating insights for the WeChat ecosystem.