Top Data Jobs in Singapore

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.

As a Principal Data and AI Architect, you will design and implement enterprise-grade data and AI solutions for customers using Salesforce D360 and Agentforce, guiding executives and collaborating with teams to drive innovation and value.

The Data Operations Associate is responsible for ensuring the accuracy of PitchBook's data through outreach, relationship building, and utilizing technology tools for data management. They will collaborate with internal teams and contribute to continuous process improvements.

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.

Data Engineers at Thoughtworks design, build, and maintain scalable data processing pipelines and applications, collaborating with teams to solve complex data challenges.

Lead stakeholder relationships, analyze business capabilities, manage compliance technology needs, coach team members, and ensure compliance with regulatory expectations in banking.

The MSAT Process Data Scientist Intern will assist in setting up bioprocess data frameworks and systems, enabling data analysis and visualization for process engineers, and ensuring compliance with Good Manufacturing Practices in a biopharmaceutical facility.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

As a Data Specialist, you'll manage data products, ensuring accuracy and generating insights for institutional investors. You'll also enhance your programming skills using Python and SQL.

The Product Data Scientist will build and deploy predictive models, ensuring delivery of high-quality code, and collaborating with stakeholders to drive business outcomes in the fintech space.

Lead AI and advanced analytics initiatives, develop and deploy data science solutions, and mentor a team in ethical AI practices. Focus on conversational AI, innovation, and aligning business objectives with technical solutions.

The Senior Data Engineer designs and builds data pipelines on cloud platforms, implements data lakehouse solutions, and collaborates with teams while ensuring data governance and quality checks.

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

Extract and analyze data to identify trends, develop dashboards, ensure data integrity, and provide insights for operational improvements.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

Lead the development and deployment of Generative AI applications, collaborate with teams to deliver business use cases, and enhance data science skills.

The R&D Data Science Engineer designs and optimizes data systems, develops algorithms, and collaborates on digital health technology projects to improve drug development processes.

The DevOps Engineer is responsible for designing, implementing, and maintaining software solutions based on business requirements, utilizing multi-technology applications and CI/CD processes.

The Director of Data Product Management at OKX is responsible for overseeing data foundation management, enabling data-driven growth, and leading a team to enhance data productization and quality management, while promoting a data-driven culture across the organization.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

As a Senior Data Scientist, collaborate with an international team to develop and implement data science solutions for semiconductor manufacturing, focusing on quality and yield improvements.

The Scheduler is responsible for planning, scheduling, and monitoring Data Centre projects, ensuring timely delivery by coordinating with stakeholders and tracking progress.

The Senior Manager will oversee the Group Motor pricing strategy, apply data science for pricing, and ensure compliance with governance and regulations while partnering with stakeholders.