Top Data Science Jobs in Singapore

Own the product backlog and delivery of AI and agentic solutions for procurement and planning. Translate stakeholder needs into requirements, user stories, data requirements, and implementation plans. Collaborate with data scientists and engineers to assess data readiness, develop solutions, and drive products from discovery through deployment, adoption, and value realization. Identify opportunities to improve cost efficiency, productivity, and capital efficiency through AI, automation, and workflow optimization.

Drives semiconductor diffusion process and equipment performance, productivity, capacity, yield, reliability, and cost improvements. Leads technical investigations, bottleneck reduction, supplier engagement, technology transfers, and cross-functional engineering projects. Uses data analytics, AI, machine learning, statistical methods, automation, and predictive maintenance approaches to improve manufacturing operations. Develops best practices, supports new capabilities, provides technical recommendations, and mentors junior engineers.

Own the AI product vision, strategy, roadmap, and lifecycle across procurement and planning. Lead discovery, requirements, backlog prioritization, data-readiness assessments, and cross-functional delivery from proof of concept through production adoption. Partner with data scientists, data engineers, executives, procurement teams, and external stakeholders to develop AI, generative AI, and agentic solutions that improve cost efficiency, productivity, decision-making, and business-process automation.

Leads NAND product engineering and cross-functional development from silicon through SSD integration and customer qualification. Translates business requirements into qualification specifications, develops AI-enabled workflows for data analysis and program management, coordinates engineering, fabrication, testing, quality, supply chain, and design teams, and guides resolution of NAND-system issues. Organizes capability reviews, leads product development meetings, and supports on-time delivery of next-generation NAND products.

Leads procurement analytics, data science, business intelligence, and data governance initiatives, initially supporting the AMEA region. Develops reports, insights, predictive models, data quality rules, governance documentation, and scalable digital solutions. Partners with Procurement, Finance, Supply Chain, Technology, and external providers to improve data quality, automate reporting, enable analytics adoption, and translate complex findings into business recommendations.

Leads global AI-driven transformation across Wealth Operations, including platform implementations, operating model redesign, governance, model risk, regulatory approvals, stakeholder alignment, and workforce reskilling. Directs cross-functional, multi-jurisdictional teams and manages senior relationships across business, technology, risk, compliance, and operations. Establishes AI execution frameworks, supports audits and examinations, resolves escalations, and mentors transformation talent.

The Staff Engineer leads the development and optimization of dry etch processes for NAND, enhancing capability and integrating solutions while mentoring junior engineers.

Lead AI-enabled cost transformation across procurement and manufacturing. Own product backlog and roadmap, define requirements with data scientists and engineers, prioritize AI/Generative AI cost use cases, drive delivery, measure before/after savings, and embed workflow optimizations into daily operations.

Serve as Product Owner for smart manufacturing AI initiatives to identify cost opportunities. Collaborate with data scientists, data engineers, and stakeholders to design, prioritize, implement, and measure AI/ML solutions that capture financial and operational value across procurement and front-end fabrication processes.

Lead a team to develop data-driven solutions that optimize planning and operations in the semiconductor industry using advanced analytics.

Designs liquidity and account solutions for corporate and payments-enabled clients, advising during sales engagements and RFPs. Structures automated funding, pooling, virtual accounts, multi-currency, and settlement solutions while addressing regulatory, tax, and accounting considerations. Partners with bankers, treasury sales, product, and regional stakeholders to expand wallet share, influence product roadmaps, support innovation, and manage APAC market requirements. Leads client presentations, thought leadership, enablement programs, and cross-functional initiatives while maintaining strong risk and control practices.

Lead AI-enabled cost transformation across procurement and manufacturing, build and operationalize a portfolio of AI/Generative AI use cases (spend, supplier, contract analytics), implement measurable savings and productivity improvements, embed solutions into workflows, manage cross-functional stakeholders, and scale data science and automation initiatives for value capture.

Drive APAC enterprise business development for custom AI solutions. Responsibilities include prospecting target accounts, building sales pipelines, leading consultative discovery, mapping business challenges to AI solutions, negotiating complex contracts, developing cloud and technology partnerships, and closing solution deals. The role also requires translating technical AI concepts into business value, advising customers on AI risks, influencing product roadmaps, supporting sales collateral, and contributing to pricing strategy and performance planning.

Lead definition, development, and delivery of Industry 4.0 smart manufacturing products. Own product roadmap, gather and prioritize requirements, coordinate engineering, data science, and operations, deploy data-driven solutions, ensure data quality, build UI visualizations, and scale standardized tools and processes across global sites.

Lead global OCT Photo teams and strategy for scanner and track hardware, process optimization, cost reduction, and yield improvement. Build Photo manufacturing roadmaps, manage supplier relationships, drive cross-functional projects and global expansions, oversee EUV/DUV and metrology efforts, implement equipment/material strategies, and develop workforce and future Photo engineering leaders. Integrate AI and data science for process innovation.

Lead and execute group-wide regulatory and compliance strategy projects, including market expansion, licensing roadmaps, operating model redesigns, and AI-driven compliance automation. Partner with Product, Engineering, Risk, and regional teams to deliver strategic initiatives, prepare executive-level presentations and business cases, and define performance metrics to measure ROI and operational efficiency.

Leads IT business analysis for financial crime compliance and anti-fraud systems, including FCC/KYC name screening, CDD risk scoring, and transaction screening. Gathers requirements, develops functional specifications, designs solutions, estimates costs, manages backlogs, facilitates stakeholder workshops, supports testing and go-live, and monitors solution performance. Collaborates with technology, fraud operations, compliance, engineering, architecture, infrastructure, and security teams using SDLC and Agile methodologies.

The Senior/Staff Engineer will develop and optimize dry etch processes for NAND technology, collaborate with teams, conduct analysis, and maintain pilot manufacturing lines.

Lead global analytics and data science teams supporting semiconductor manufacturing. Drive yield and process optimization through SQL, sensor, and fabrication-tool data; apply statistical modeling and machine learning to reduce defects; support DOE experiments; build automated dashboards; and manage cross-functional delivery portfolios. Mentor technical talent, improve data quality and platform performance, standardize modern data stacks, and partner with engineering and business leaders on prioritization, risks, and dependencies.

Lead wet-process and chemistry pathfinding for next-generation NAND: develop advanced wet etch, clean, and surface modification solutions, apply AI/ML and analytics, partner with suppliers and research collaborators, integrate across process teams, and mentor engineers.

Lead the implementation and maintenance of AI agent applications, enhance performance, manage lifecycle, and ensure compliance with regulatory standards while coordinating cross-functional teams for operational excellence.

The role involves collaborating with cross-functional teams to develop NAND products, integrating AI solutions, and ensuring timely delivery of technology with strategic partners in various departments.

Own net-new enterprise logo acquisition in Singapore: build territory strategy, run discovery calls and demos, create pipeline, engage business and IT stakeholders, close deals to meet quotas, and collaborate with partners and cross-functional teams to accelerate complex, high-value Snowflake AI and data opportunities.

Supports humanities, arts, and social science researchers through coding, digital methods, data collection and analysis, cloud services, and web or mobile application development. Responsibilities include training researchers, maintaining the Centre website and portal, supporting technical research proposals and publications, managing software development guidelines, and improving research services. The role also involves ethical data scraping, dataset preparation, academic events, and staying current with relevant software development practices.

Provides technical and methodological support for digital humanities, arts, and social sciences research. Responsibilities include coding, dataset collection and preparation, web and mobile application development, cloud service support, website maintenance, digital methods training, research proposal assistance, software development standards, and service improvement. The role also supports academic events and collaborates with researchers and technical teams across NTU and Singapore.