Top Data Jobs in Singapore

The Principal Data Scientist will lead the development of digital twin technology integrating advanced simulation and predictive analytics, collaborating with engineers to optimize manufacturing processes.

Lead the development of AI/ML solutions for production planning and agentic systems, mentor junior data scientists, and optimize performance and efficiency of systems.

The Staff Data Scientist will lead the technical strategy for payments optimization, implementing advanced algorithms and collaborating with cross-functional teams to enhance payment performance and product adoption.

Intern will apply data analytics and AI modeling to wet etch and clean processes, focusing on process optimization and technology readiness, while developing technical skills and working on experiments.

As an intern, apply data analytics and machine learning to analyze semiconductor data, build models, and communicate insights to teams.

Lead the growth and performance of Airbnb's Homes business in Southeast Asia, managing teams to expand quality supply and enhance guest experiences. Collaborate cross-functionally to ensure market success and monitor business performance against KPIs.

As a Senior Data Scientist, you'll define and execute roadmaps, partner with IT for system management, design scheduling logic, develop solutions in C#, Python, and SQL, and communicate strategic recommendations to leadership while tracking KPIs.

As a Senior Data Engineer, you will design and implement data models, manage ETL pipelines, enforce data governance, and integrate AI practices.

The Staff Data Scientist will design experiments, improve payment products, build measurement frameworks, and mentor junior data scientists at Airwallex.

As a Data Science Engineer, you will analyze large datasets, develop predictive models, and work collaboratively to enhance data tools and processes.

The Data Scientist will analyze big data, develop software solutions, identify insights, and enhance products/services through data-driven decisions.

The program develops skills in warehouse operations, focusing on GMP compliance, continuous improvement, SOP updates, and master data management for biopharmaceuticals.

Drive labor productivity through program management, data analysis, automation, and AI methodologies to enhance operational efficiency and reduce labor hours.

Lead Prudential's AI Lab, driving development of AI solutions, managing sandbox operations, overseeing product quality, mentoring teams, and engaging with external AI talent.

The Principal Architect will design the data, knowledge, and skills layers for a data platform, ensuring high quality data management and compliance while enabling AI capabilities.

The Senior Data Scientist will analyze complex data sets, apply statistical techniques, and collaborate with teams to influence product strategy and improve business outcomes.

Oversee strategy and architecture of data and AI platforms, resolving challenges, promoting best practices, and mentoring the team.

The Manager, FP&A Data oversees financial data maintenance and builds infrastructure for transforming raw data into strategic insights, utilizing SQL, Python, and AI-driven solutions to automate processes and enhance data governance.

The Staff Data Platform Engineer will oversee the strategy, architecture, development, and operations of data and AI platforms, mentor a team, and advocate for best practices in data management and governance.

Lead enterprise data strategy, architecture, governance, and delivery. Design scalable data platforms, pipelines, and analytics solutions; enforce data quality, MDM, and metadata standards. Advise senior stakeholders, lead cross-functional teams, and manage end-to-end delivery to meet timelines, KPIs, and business value.

Lead Enterprise AI initiatives by designing, developing, and deploying AI/GenAI solutions. Partner with data engineers, technologists and business stakeholders to prototype, integrate, validate and benchmark LLM and advanced-model applications, manage expectations, and translate analytic results into business outcomes.

Lead regional go-to-market strategy and execution for complex product portfolios. Translate client needs into product requirements, manage product launches and marketing lifecycle, drive commercial success, and lead cross-functional teams and sales managers to achieve revenue, customer retention, and strategic objectives.

Lead pre-sales technical design and architecture for Agentforce and Data Cloud (D360). Design integrations with external agents and hyperscalers, build prototypes and demos, define prompt engineering and agent lifecycle best practices, advise on data modeling and ingestion patterns, and provide technical enablement and documentation to internal teams and customers.

Support deployment of marketing analytics for Consumer Banking by performing data discovery, building and maintaining predictive models, campaign reporting, segmentation, and campaign execution support. Collaborate with product managers, data engineers, and data scientists to improve marketing effectiveness, automate campaign processes, and translate data into actionable insights for customer acquisition, cross-sell and activation.

The role involves leading BIO initiatives, collaborating with sales teams, enabling digital capabilities, and engaging stakeholders to enhance agent productivity and business outcomes.