Top Data Jobs in Singapore

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 developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

The Growth Data Analyst will create dashboards, analyze data using SQL and Databricks, collaborate with teams, and develop models to enhance marketing strategies.

Design, develop, and deploy predictive and generative AI models; analyze large datasets; build GenAI-powered applications and reusable AI services; create data visualizations; collaborate with stakeholders to drive business decisions and keep abreast of ML and generative AI advances.

The role focuses on building data foundations for LLMs, overseeing data pipelines, sourcing, cleaning, validating, and optimizing data for AI models.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

The Principal Expert leads the data science strategy for MSAT, establishes best practices, delivers high-impact initiatives, and mentors teams in a regulated environment.

As a Data Engineer, you will develop data pipelines, transform analytics for business growth, automate reporting, and collaborate with stakeholders to deliver data-driven insights.

Design and develop GenAI solutions for applications and tools, collaborate with teams, optimize AI pipelines, and document workflows.

This role involves designing and developing AIML/GenAI solutions, collaborating with engineering teams, and translating business needs into AI-driven solutions.

The Data Analyst will extract and analyze operational data, present insights, develop dashboards, ensure data accuracy, and collaborate for improvements.

As a Data Scientist, you'll analyze structured and unstructured data, apply statistical methods, develop algorithms, and communicate insights to influence business strategies.

Lead design and maintenance of scalable data pipelines, ETL/ELT processes, and data warehouse architectures. Optimize infrastructure and data quality, build automated monitoring, support high-priority analyses, and partner with Product, Engineering, and GTM teams to deliver actionable data solutions.

The Data Products Manager will oversee digital data products, leading regional initiatives, collaborating with global teams, and ensuring effective execution and user research in the APAC region.

Supervise ELV system installation, inspection, testing and commissioning support at data centre projects. Ensure safety, quality, HSSE compliance, coordinate with other disciplines, monitor progress, resolve site technical issues, and report against construction schedules.

The Software Engineer for Data Infrastructure & Acquisition at Speechify will enhance data collection, manage infrastructures, and work with AI scientists to develop large-scale datasets.

Senior hands-on technical architect for pre-sales and early adoption, designing and operationalizing enterprise data and AI architectures around Salesforce Agentforce and Data Cloud (D360). Lead prototypes, prompt engineering, agent interoperability, integrations with hyperscalers and data platforms, enablement, and governance to drive scalable, secure AI-enabled CRM solutions.

The Director of Platform Success is responsible for accelerating platform adoption and business transformation across APAC, ensuring alignment with global strategies while delivering measurable outcomes for regional growth.

Lead cross-functional special projects to improve air network planning and scheduling using optimization models, automation, and analytics. Design and deploy tools and scripts, integrate solutions with scheduling systems, pilot innovations, and enable operational teams. Act as strategic advisor to planning leadership and document standards and best practices for sustainable adoption.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.