Top Data Jobs in Singapore

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.

Lead large-scale payment data analyses to identify optimization opportunities and support A/B testing. Build scalable ETL pipelines, automation, and self-service analytics tools. Partner with product, data, and commercial teams to deliver actionable insights, mentor peers, and communicate results to technical and non-technical stakeholders.

The Engineering Director will lead software engineering teams, set technical direction, ensure product quality, and foster innovation and collaboration.

The Enterprise BD Manager will expand and maintain key enterprise accounts, driving growth through strategic relationships and complex solution structures in maritime risk and sustainability.

The Technical Product Manager is responsible for product outcomes across the lifecycle, involving product vision, stakeholder engagement, backlog prioritization, and technical leadership.

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 Staff Data Scientist will optimize semiconductor manufacturing processes through data analysis, statistical modeling, and data visualization, collaborating closely with engineering teams.

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.

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.

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.

Design and implement advanced scheduling, optimization, and simulation solutions in manufacturing to improve production metrics and drive innovation.

Translate business strategy and product vision into implementable requirements for digital wealth platforms. Partner with wealth advisory, product, tech, data, UX, and operations to design intuitive advisory and portfolio-management journeys, optimize processes, leverage AI/data for analytics and personalised recommendations, ensure regulatory compliance, and drive delivery across Agile and Waterfall projects.

As a Data Scientist, you will analyze large datasets, develop predictive models, and improve existing tools while collaborating with teams for data analysis projects.

Develop and deploy optimization, simulation, and ML models to improve semiconductor factory capacity, throughput, and cycle time. Partner with cross-functional manufacturing and engineering teams to analyze constraints, run scenario analyses, and deliver data-driven recommendations integrated into production pipelines and decision-support tools.

Lead design and deployment of agentic AI for manufacturing planning and operations. Build multi-agent systems combining LLM reasoning and optimization (MIP, heuristics, simulation), integrate agents with data pipelines and enterprise systems, and deliver solutions for capacity planning, production flow optimization, and decision automation. Partner with planning, operations, data engineering, and MLOps teams to translate domain requirements into deployable AI workflows and reusable orchestration frameworks.

Design, build, and ship agentic AI applications that answer business questions over governed data. Implement RAG, NL-to-query, tool/function calling, and evaluation/guardrails. Partner with data teams on metrics, models, pipelines, and apply strong data governance and security for financial services.

The IT Engineer (Data Services) is responsible for managing and optimizing database systems, ensuring data availability, performance, and compliance, while also developing automated solutions and collaborating with site customers.

Design and implement smart manufacturing AI solutions for advanced factory scheduling, optimization, and simulation. Build analytics and applications, apply new algorithms, collaborate across global sites, drive benchmarking, and support continuous improvement of production metrics.

Design and implement advanced smart manufacturing solutions in scheduling, mathematical optimization, and discrete event simulation. Build data analytics and applications to provide actionable insights, collaborate globally to deploy solutions across manufacturing sites, and integrate AI/OR hybrid methods to improve production performance and benchmarking.

Partner with clients to design and deliver end-to-end analytics and data science solutions. Manage project workstreams, synthesize quantitative and qualitative analyses into recommendations, lead client presentations, mentor junior consultants, and contribute to solution development and intellectual capital.

The role focuses on developing product disposition solutions, enhancing yield and reliability through data analysis, and mentoring team members while collaborating across teams.

The role involves ensuring end-to-end performance and power readiness of Data Center SSD programs through technical execution, analysis, and leadership across teams.

The Partner Development Manager is responsible for strategizing and managing partnerships with GSIs and System Integrators in ASEAN to drive revenue, increase brand awareness, and develop go-to-market strategies.

The role involves leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.