Top Data Jobs in Singapore

Client-facing technical leader who designs AWS cloud architectures, supports pre-sales and deal shaping, builds demos/PoVs, advises stakeholders, and supports proposals and RFPs for Singapore public sector and healthcare digital transformation.

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.

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.

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.

Lead analytics-driven product roadmap for casual mobile games to improve retention, engagement, and monetisation. Define KPIs and measurement frameworks, design and evaluate A/B tests, translate player behaviour into product requirements, drive segmentation and personalization, partner with engineering on event tracking and data quality, research industry benchmarks, and apply AI tools to streamline analytical workflows and decision-making.

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.

Lead seismic fieldwork and data acquisition; develop and apply AI/deep-learning methods for seismic preprocessing, quality control, denoising, and workflow optimization; manage and curate datasets; support seismic imaging analysis, documentation, and collaboration to deliver research objectives.

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.

The Data Engineer designs and maintains data pipelines and systems, transforming raw data into insights by collaborating with project teams and utilizing various data processing tools.

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.

As a Data Scientist, you will translate business problems into data analytics solutions, manage the ML lifecycle, and improve driver incentives through statistical analysis.

The role involves analyzing data sets, developing solutions using computer vision and machine learning techniques, and communicating insights for the WeChat ecosystem.

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 role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

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

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 AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

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.

The Software Engineer will provide technical support to customers, collaborate with engineering teams, and drive customer success initiatives while leveraging Python and SQL expertise.

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.

Support construction and maintenance of overseas advertising data reports and metrics, develop and maintain data pipelines for the advertising system, collaborate with cross-functional teams to translate business needs into data engineering solutions, and ensure data quality, reliability, and performance.

Design and develop cloud-native, reusable AI and data products for Singapore government projects. Prototype, implement, and validate ML algorithms (CV, NLP, recommender, synthetic AI), build microservices, deploy to cloud and edge (mobile/IoT), assess AI maturity, collaborate with research and industry partners, document and transfer technology, and support product lifecycle and operationalisation.

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.