Top Data Jobs in Singapore

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

As a Senior Product Data Analyst, you will drive data-backed decision-making, analyze on-chain and off-chain data to optimize product performance, and enhance user experience through experimentation.

As a Product Engineer in Advance Data Analytics, you will lead initiatives to enhance yield and quality using data analysis, machine learning, and AI. Responsibilities include algorithm development, data infrastructure enhancement, and collaboration with cross-functional teams.

Design and maintain data architectures, process large datasets, optimize ETL processes, collaborate with teams for data-driven decisions, and ensure data security.

Manage hybrid and multi-cloud environments on AWS and Azure, oversee cloud migrations, implement DevSecOps practices, and ensure security and compliance.

The Managed Services Cross Technology Engineer (L2) SRE ensures IT systems reliability through automation, incident management, and proactive monitoring while supporting client service availability and performance optimization.

The Senior Data Scientist will drive the adoption of data science solutions, create statistical models, and visualize data to communicate insights to decision-makers.

The Senior Manager, P&C Business Partner is responsible for implementing HR strategy, enhancing employee relations, and optimizing workforce planning while fostering team collaboration and ensuring compliance with HR policies.

The Senior Associate HR Business Partner develops HR solutions, manages organizational development and talent management activities, and drives diversity initiatives.

As a Cross Technology Sales Specialist, you will identify and pursue sales opportunities, engage with clients, and collaborate internally to create solutions that meet client needs while achieving sales targets.

Manage and optimize Nutanix solutions, execute evaluations, provide technical support, and troubleshoot Nutanix-related issues.

Lead business analysis for AI and data initiatives, bridging business needs and AI capabilities, while ensuring adherence to governance and compliance standards.

As a Data Engineering Intern, you'll support data infrastructure understanding, ETL processes, AI/ML exploration, and documentation in aviation innovation.

Deliver complete software solutions across all SDLC phases, guide junior engineers, and make technical decisions with minimal supervision.

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.

The Senior Data & Reporting Analyst will support global entities in managing outsourcing risks by analyzing data, monitoring service performance, and ensuring compliance with regulations.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

Lead Data Scientist responsible for developing and deploying multilingual large language models, building datasets, and improving AI safety alignment.

As a Senior kdb+ Developer, you will lead technical delivery on projects, design kdb+ architectures, mentor developers, and drive innovation in data solutions for finance.

The kdb+ Developer will collaborate with users to develop applications, maintain code, analyse data, and mentor juniors while delivering projects.

As a Data Scientist Manager, you will develop predictive models using large datasets, analyze trends, and collaborate with stakeholders to drive business decisions.

As a Data Engineer, you'll build data infrastructure, manage ETL pipelines, ensure data quality, and collaborate with teams for analytics and reporting solutions.

The Data Scientist will develop and deploy ML models, conduct data analysis, optimize air traffic solutions, and maintain pipelines in a collaborative environment.

Lead the Underwriting Disruption project by integrating advanced data analytics and technology into insurance underwriting operations, enhancing predictive capabilities and streamlining processes through strategic leadership and cross-functional collaboration.