Top Data Jobs in Singapore

As a Data Scientist Intern, you will analyze large datasets, develop dashboards, build data pipelines, and collaborate on business strategies.

The Senior Associate Sales Operations Analyst manages sales data, conducts analyses, creates reports, and collaborates with various teams to improve sales processes and drive performance.

The Client Project Manager leads complex projects, managing stakeholders and ensuring satisfaction, timely delivery, and scope control while facilitating communication and pre-sales support.

The Data Management Specialist will develop data governance tools, collaborate on metadata standards, and implement solutions for data quality and integrity.

Supervise data centre operations, ensuring tasks are completed on time and within standards. Act as the first escalation point, drive automation and process improvements, and support compliance and operational reporting.

This role involves monitoring compliance with customer experience standards, conducting surveillance, identifying gaps, and providing insights to improve service quality within financial services.

Manage data centre operations overseeing maintenance, engineering teams, contractor performance, compliance, and asset management while ensuring operational excellence.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The role involves developing and optimizing a Data Governance Framework, providing consultation, and implementing governance solutions within the Global Operations team.

The Data & AI Scientist will analyze datasets, create AI products, develop analytics solutions, and collaborate with teams to optimize operations.

Assist with data collection, validation, preparation, and transformation, support dashboard updates, conduct basic data analysis, and collaborate cross-functionally.

The Senior Data Engineer will design and build large-scale data pipelines, leveraging cloud platforms and technologies like Databricks and AWS, ensuring effective data solutions for clients.

As a Senior Networking Technology Sales Specialist, you will pursue leads, generate pipeline opportunities, and engage with clients to tailor solutions while leveraging a team-selling approach.

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

The Data Engineer will design and build data platforms, manage data pipelines, ensure data quality, and mentor junior engineers.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

Intern will design and implement a web-based interface and data infrastructure for managing critical register drift events, integrating alert mechanisms for drift detection.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

The Insurance Account Lead is responsible for driving account growth, leading sales processes, building thought leadership, and executing account strategies in the insurance sector.

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

Design and build data pipelines, architect data infrastructure on cloud, collaborate with teams to enhance data-driven platforms, ensure data integrity and scalability, and improve products/services.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.