Top Data Science Jobs in Singapore

Develop and optimize CMP processes for next-generation 3D NAND memory products. Lead experiments, consumables and hardware evaluations, process monitoring, manufacturability improvements, yield enhancement, and process-margin development. Collaborate with vendors, integration teams, manufacturing, procurement, and global partners while defining technology roadmaps. Serve as a technical expert, mentor engineers, lead complex multidisciplinary projects, and drive innovation through patents and technical publications.

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 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.

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.

Drive enterprise business development and consultative sales for custom AI solutions across APAC. Responsibilities include prospecting, building pipelines, leading discovery, mapping business needs to AI solution blueprints, negotiating complex contracts, developing cloud and technology partnerships, and closing five-figure to six-figure deals. The role also requires translating technical AI concepts into business value, advising on AI risks, collaborating with solution architects and marketing, and influencing product roadmaps.

Lead Emerging Asia FX and rates strategy research, producing differentiated macroeconomic analysis, quantitative models, and actionable trade recommendations. Publish client-facing research, develop thematic views, engage institutional investors, and collaborate with economists, strategists, sales, and trading teams. Represent Barclays at meetings and industry events, strengthen the research franchise, ensure regulatory compliance, and mentor junior colleagues.

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.

DBS is recruiting penultimate-year undergraduates for its 2027 internship program across Business, AI and Data Science, and Technology tracks. Interns must commit to a full-time 12- or 24-week placement beginning in May. Candidates should be self-motivated, adaptable, creative, resilient, and strong communicators. Applicants must submit a current CV and provide the correct internship code during the application process.

Drive enterprise business development across APAC by identifying target accounts, building AI solution pipelines, leading consultative discovery, negotiating complex contracts, and closing custom AI services deals. Translate technical AI capabilities into business value, collaborate with solution architects and partners, educate prospects on AI risks, and provide customer and market feedback to influence product, pricing, and sales strategy.

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.

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

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.

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.

Develop quantitative models and data pipelines for MetaBrain decision-intelligence software. Responsibilities include preparing reliable datasets, building forecasting, segmentation, ranking, scoring, or optimization models, validating uncertainty and business value, and operationalizing reproducible analytical workflows with data tests, monitoring, scenario outputs, and explainability.

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.

Deliver data science consulting projects for marketing, customer, and product use cases in luxury, consumer goods, and retail. Responsibilities include data analysis, KPI design, experimentation, machine learning, generative AI, data engineering, visualization, stakeholder storytelling, and solution deployment. The role also supports transformation, training, thought leadership, R&D, and business development.

Support AI prototypes, AI/BI solutions, AI agents, GenAI workflows, dataset preparation, model evaluation, dashboards, and reporting. Assist with testing, issue investigation, documentation, deployment, monitoring, security, compliance, and governance. Collaborate with technical teams and business users while learning new AI and BI tools during a six-month internship.

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.