Top Data Jobs in Singapore

Manage the design and lifecycle of Web3 infrastructure products focusing on data services, market data systems, and algorithm platforms. Collaborate with teams to meet performance and security needs, leveraging advanced AI technologies and on-chain data analytics.

The Infra Product Manager will develop algorithm platforms and Web3 search systems, integrate AI capabilities, analyze on-chain data, and ensure product delivery quality.

Lead architecture and delivery of post-trade data systems, designing near-real-time and historical data pipelines. Drive technical roadmap, mentor engineers, implement robust testing and monitoring, resolve incidents, and integrate analytics technologies to support trading product features and operational stability.

Design, build, and operationalise large-scale cloud data pipelines (batch and streaming) using Databricks/Snowflake and cloud platforms to support reporting, automated systems and AI/ML teams. Administer cloud data platforms, optimise SQL/storage, implement CI/CD, IaC, containerisation and serverless solutions, and collaborate with clients, partners and internal teams to scale data engineering deployments.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

Sell security technology solutions by generating pipeline, engaging clients and stakeholders, leading workshops, supporting pre-sales, designing tailored security solutions, maintaining subject-matter expertise, managing account plans, and collaborating with sales and vendor partners to close deals and meet revenue targets.

Design, build, and maintain a unified data framework, scalable data pipelines, and data models. Improve data ingestion, quality, monitoring, and governance; troubleshoot pipeline issues; optimize performance; integrate third-party tools; and apply AI techniques to enhance data quality and engineering workflows.

The intern will solve deep learning and computer vision tasks, design and deploy models, develop tests, and communicate with the team.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

Lead mechanical design and delivery for data center and infrastructure fit-out projects across APAC. Review and QA mechanical, plumbing and fire protection designs in BIM platforms, coordinate vendors and contractors, perform thermal/hydraulic/CFD analyses, manage scope changes, ensure compliance with standards, and support constructability and off-site manufacture activities while reporting to technical program leadership.

Lead mechanical engineering for data center and infrastructure fit-out projects across APAC. Review and QA MEP and fire protection designs using BIM and cloud platforms, coordinate clients/contractors, perform thermal/hydraulic/CFD analyses, optimize designs for manufacture, maintain deliverables, ensure compliance with standards, and support scope, cost, and schedule management.

Develop, train, fine-tune, evaluate, and deploy AI/ML models and LLM-powered data products. Build end-to-end model pipelines, feature engineering, monitoring, and production deployment. Apply generative AI for summarization, classification, knowledge extraction and semantic search. Collaborate with product, engineering, and business teams and integrate third-party tools and open-source models.

The Staff Software Engineer will design high-performance backend services, manage distributed state, ensure system resilience, and implement cloud-native architectures with advanced engineering principles.

Design, develop, and deploy production-ready AI applications and scalable DataOps/MLOps pipelines for avionics manufacturing. Build LLM/RAG/agent-based solutions, integrate enterprise and manufacturing systems, implement CI/CD and containerized deployments, ensure security/compliance, and collaborate with stakeholders to deliver measurable operational improvements.

Perform high-risk document and account servicing tasks, act as SME, manage exceptions and escalations, support audits and regulatory requests, reconcile operational reports, liaise with vendors, ensure SOP compliance, and drive process improvements while providing backup team lead coverage.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

NTT DATA's Associate Graduate programme provides structured learning, mentorship, and hands-on exposure across cloud, data, AI/ML, application development, automation, infrastructure and cybersecurity. Graduates work on real client projects, earn certifications, build technical and professional skills, and explore specialised career pathways such as Cloud Engineering, Data Engineering, AI/ML, and Cybersecurity.

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.