Top Data Jobs in Singapore

The Document Controller coordinates document management across Design Engineering and Construction projects, ensuring accessibility, compliance, and effective communication among teams and stakeholders.

Build, operate, and harden a cloud-native data platform on Kubernetes using IaC and GitOps. Provision and run lakehouse, streaming, orchestration, and managed DB services; implement governance, self-service interfaces, SLIs/SLOs, runbooks, incident response, upgrades, and platform security to keep multi-tenant data infrastructure reliable and scalable.

The Head of Data Science will lead the data science team across Southeast Asia, focusing on credit risk model development, strategic collaboration, and shaping the machine learning roadmap.

Design and deploy ML and RL solutions for air traffic optimization including transformers and RL agents; build RAG and LLM evaluation pipelines; implement MLOps with Kubeflow/Airflow, Docker/Kubernetes, MLflow/W&B; monitor models, automate pipelines, and collaborate with engineering teams for production integration.

Partner with Global Growth to design and ship experiments, optimize the self-serve onboarding funnel across stripe.com and dashboard, build ML and statistical models, run causal inference and experimentation, deploy models, and drive measurable product and business impact.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.

Lead early-stage technical development for APAC data center projects: perform site feasibility and due diligence, develop conceptual engineering and layouts, assess power and utility options, estimate CAPEX and schedules, manage stakeholder and authority engagement, identify risks and mitigations, and support transition to design and construction teams while aligning technical solutions with commercial strategy.

Inspect and profile new financial datasets, build and test conceptual/logical/physical data models, document field definitions and relationships, collaborate with Data Engineering to produce ETL/ELT-ready schemas, and maintain model alignment and data quality.

Design, build and operate scalable Databricks/PySpark data pipelines to ingest, transform and validate financial vendor data into production-ready datasets, partnering with product and client teams to meet quality and timeline requirements.

The Data Science Intern analyzes large datasets, uses machine learning and analytics to solve gaming challenges, and collaborates with teams to drive business strategies.

The Senior Data Compliance Analyst is responsible for designing product frameworks for data compliance, monitoring regulations, translating legal requirements into product specifications, and ensuring the upkeep and optimization of compliance products while liaising with cross-functional teams.

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.

Lead design and delivery of site-level data architectures, pipelines and analytics to enable real-time decision-making and AI-enabled solutions across manufacturing, quality, engineering and supply chain in a regulated (GMP) environment. Drive digital roadmap execution, governance, adoption, and continuous improvement with cross-functional stakeholders.

Lead design and delivery of site-level data architectures, pipelines and analytics to enable real-time decision making, digital twins and AI use cases across manufacturing, quality, engineering and supply chain in a GMP-regulated environment. Drive roadmap delivery, governance, user adoption, and continuous improvement while coordinating cross-functional projects and ensuring data governance, compliance and measurable operational outcomes.

Build and deploy data processing pipelines (batch and real-time), clean and extract information, calibrate fraud detection models, collaborate with clients, and conduct R&D on machine learning, NLP, and image analysis to drive product innovation.

Lead enterprise data governance programs across Global Operations from discovery through implementation and closure. Establish and operationalize governance frameworks, policies, standards, and metrics. Partner with CDO, IT, manufacturing, supply chain, and analytics to define scalable governance models, manage critical data elements, metadata, data quality, lineage, and catalogs. Drive stakeholder alignment, change management, executive communications, and adoption while ensuring solutions fit operational workflows.

Work with client teams to frame data needs, analyze marketing/customer/product data, build and deploy ML and generative AI solutions, create dashboards, and support data transformation and enablement across luxury, consumer goods, and retail use cases.

Support AI-enabled seismic research by conducting fieldwork, acquiring and preprocessing seismic data, developing AI algorithms and pipelines for dispersion analysis, validating models, curating datasets, and producing technical documentation and publications.

Lead global account strategy and growth for top-tier data centre customers. Build executive relationships, develop pipelines, drive large complex deals, coordinate cross-functional teams, influence product roadmap via customer insights, and run quarterly business reviews to secure multi‑million dollar opportunities and long‑term partnerships.

Develop and maintain high-performance components of a distributed data platform in C++, including storage engines, query/compute execution, RPC/networking, and distributed coordination; collaborate with research and engineering teams, troubleshoot production issues, and participate in code review and productionization.

Own and build a streaming-first data platform for high-volume IoT telemetry: ingestion, medallion modeling (bronze/silver/gold), semantic metrics layer, data quality, observability, database architecture, self-serve analytics, and LLM-friendly tooling. Drive roadmap, dashboards, and rapid operational insights across a global robot fleet.

Support data scientists to structure and manage operational manufacturing data, build predictive ML models, develop dashboards/visualizations (Power BI/MS Power Platform), and assist project management and stakeholder communications during a January–June 2027 internship.

Lead data analysis and automation for Compliance reporting, building ETL and analytics solutions with Python, SQL and Starburst; create Power BI dashboards; ensure BCBS 239 and data governance compliance; act as Compliance Data Steward; collaborate with stakeholders to improve data processes and conduct business impact assessments.