Top Data Jobs in Singapore

Design and deploy computer vision and deep learning solutions for manufacturing inspection and monitoring. Extract and clean large datasets, build multimodal AI models, apply MLOps for production deployment, and collaborate with cross-functional teams to translate research into operational systems and documentation.

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

Lead global initiatives to improve facilities cost data visibility, metrics alignment, reporting, and process enablement. Drive data governance, reporting development, and sustainable reporting operations across Global Facilities to improve decision-making and business insight.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

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.

Remote annotator reviews Japanese text and images, draws bounding boxes, answers structured questions, and writes short summaries per guidelines to train AI systems. On-the-job training provided; assessment required.

Manage and grow strategic regional ASEAN accounts as a quota-carrying client manager. Drive ACV, revenue, renewals and expansions; build executive relationships; identify cross-sell/upsell opportunities; coordinate country teams, solution specialists and delivery stakeholders; manage full sales lifecycle, forecasting, pipeline, and regional account governance.

Early-career internship to help design and develop a Web3 AI-powered financial token risk control system. Build benchmark datasets, prototype AI agent workflows, assist development and optimization of a rule engine (Go), and support system integration and deployment alongside senior engineers.

Lead complex analytics for global complaint vigilance: perform trend and risk analyses, build dashboards, support data ingestion and data-lake strategy, present findings to QA and cross-functional partners, and enable corrective action and regulatory responses.

Work with cross-functional teams to design, evaluate and deploy NLP and generative-AI systems. Build evaluation frameworks, run experiments, perform error analysis, and help productionize and monitor model improvements while ensuring reproducibility, responsible AI and clear communication to stakeholders.

Join a team building AI-enabled products for government communications. Define ML/NLP problems, build evaluation frameworks and datasets, run experiments, perform error analysis, recommend and integrate model improvements, ensure reproducibility and responsible AI compliance, and communicate findings to technical and non-technical stakeholders.

Design, build, and scale data infrastructure for LLM training, fine-tuning, evaluation, and RAG. Implement and maintain data architectures, pipelines (batch and streaming), org-level IAM and governance, cost/performance optimizations, analytics/dashboarding, AI-assisted ops and internal automation tools, and support multi-cloud production workloads.

Collect, analyze and interpret complex data to produce insights, forecasts, and reports. Build and maintain Salesforce dashboards and BI visualizations, conduct data quality checks, develop data governance, and support stakeholders through training and workshops. Use statistical modelling and AI tools to automate reporting and improve decision-making.