Top Data Science Jobs in Singapore

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

Owns the identification, prioritization, and implementation of AI solutions that reduce costs across procurement, manufacturing, planning, and program management. Collaborates with data scientists, data engineers, and global business teams to develop business cases, validate ROI, monitor financial and operational impact, and establish new AI use cases. Requires strong cost-project experience, analytical ability, communication skills, and cross-functional leadership, preferably in the semiconductor industry.

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.

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.

Owns AI-driven cost-reduction solutions across procurement, facilities, construction, and tool-install processes. Partners with data scientists and engineers to identify use cases, develop business cases, prioritize projects, coordinate global implementation, and measure financial and operational impact. Requires strong analytical, communication, relationship management, and cross-functional leadership skills, with experience in cost initiatives within operations or procurement, preferably in semiconductor construction and tool-install environments.

Owns AI-driven cost-reduction products and use cases across procurement, operations, engineering, and commercial functions. Collaborates with data scientists, data engineers, and global teams to implement solutions, quantify financial and operational impact, develop ROI-based business cases, prioritize projects, and identify additional opportunities. Requires strong cost-project experience, analytical skills, cross-functional leadership, communication, and relationship management.

Owns end-to-end smart manufacturing and AI product initiatives, translating semiconductor manufacturing needs into requirements, user stories, success criteria, and deployment plans. Partners with data scientists, engineers, suppliers, and global stakeholders to deliver machine learning, analytics, automation, and IIoT solutions. Identifies operational improvement opportunities using manufacturing data and KPIs, leads cross-functional implementation and adoption, and drives measurable gains in wafer output, productivity, yield, quality, and capital efficiency.

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

Leads Asia Pacific product strategy, commercialization, partnerships, and adoption for Mastercard fraud and decisioning solutions. Owns product performance, market prioritization, regulatory enablement, go-to-market execution, stakeholder engagement, and budget forecasting. Directs regional teams and collaborates with global product, technology, data science, sales, customer success, and business development functions to enhance solutions, develop use cases, influence industry standards, and drive growth across banks, merchants, e-commerce platforms, and ecosystem partners.

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.

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.

Own the strategic roadmap for AI-enabled yield smart manufacturing solutions. Identify solution gaps, define business opportunities, and lead global projects with fab engineers, AI engineers, and data scientists. Apply AI, GenAI, predictive analytics, and machine learning to yield improvement, process optimization, technology development, and intelligent decision support. Use performance metrics and domain expertise to address manufacturing challenges and deliver integrated solutions.

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.

Leads global data science and analytics teams supporting semiconductor manufacturing. The role applies statistical modeling, machine learning, data engineering, and visualization to optimize NAND process capability, device yield, and operational performance. Responsibilities include building data pipelines, analyzing manufacturing and equipment data, designing experiments, developing automated tools, mentoring technical talent, and managing cross-functional analytics programs. Strong semiconductor manufacturing expertise, Python, SQL, cloud platforms, and advanced engineering analytics experience are required.

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.

Lead global semiconductor manufacturing process standardization and digital product initiatives across multiple fabs. Own product vision, roadmap, MVP delivery, and business-value measurement while driving current-state analysis, future-state process design, governance, deployment, adoption, and continuous improvement. Facilitate alignment among manufacturing, quality, engineering, IT, supply chain, and site leadership teams. Manage transformation programs, stakeholder communications, KPIs, training, change management, and global rollout activities.

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify improvement opportunities. Develops dashboards, analytical models, metrics, and decision-support tools; validates data and supports deployment, adoption, and scaling across manufacturing sites. Partners with engineers, data specialists, and operational leaders to translate problems into actionable insights, facilitate continuous improvement, and support predictive and prescriptive analytics initiatives.

Analyzes manufacturing, process, quality, downtime, labor, material-flow, and cost data to identify performance losses and improvement opportunities. Builds dashboards and reports, validates data, performs statistical and root-cause analysis, supports predictive analytics, and communicates findings to operational and technical stakeholders. The role also supports testing, deployment, user adoption, documentation, and continuous improvement of analytics solutions across manufacturing value streams.

Develop and deploy AI solutions for public- and private-sector clients while supporting AI governance, data protection, fairness, and transparency. Apply machine learning across NLP, computer vision, recommendation systems, reinforcement learning, and forecasting. Build end-to-end AI systems using modern cloud, MLOps, software engineering, and infrastructure tools. Collaborate with clients, colleagues, and partners, continuously expand technical expertise, and contribute to transformative digital initiatives.

Shape AI product initiatives for investment and business teams across APAC. Translate business needs into product requirements, workflows, user stories, and success measures; analyze feedback, adoption, and operational pain points; support prioritization and delivery; coordinate testing, documentation, training, and rollout; monitor performance and recommend improvements. The role partners with investment, research, data, engineering, compliance, and control functions while communicating progress and risks to stakeholders.

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.

Develop and implement AI/ML and Generative AI proof-of-concept solutions, including data processing, model training, deployment, experimentation, and algorithm optimization. Collaborate with business, technology, and engineering teams to integrate scalable solutions into existing platforms. Apply deep learning, NLP, and large language model techniques to address business challenges, translate real-world problems into data science solutions, and contribute to technical knowledge sharing.

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.