Top Data Jobs in Singapore

Build and maintain end-to-end web applications: develop responsive React frontends, design backend services and RESTful APIs (Java/Node/Python/AWS Lambda), work with databases, troubleshoot performance issues, write tests, and collaborate with product, design, and engineering teams.

Design, build and operate enterprise-scale data and analytics platforms on GCP. Lead architecture, reliability and incident response for BigQuery/Dataproc/Spark workloads, implement IaC and CI/CD, drive SRE/observability, optimize performance and cost, mentor engineers and enforce security and operational best practices.

Own end-to-end robotics data collection: translate research needs into collection protocols, run multi-site collection operations, maintain rigs and pipelines, define KPIs, diagnose data quality, and align researchers, engineers, and operators to deliver training-ready datasets.

Perform document retrieval, data entry, control checks, and processing of customer communications and PIN requests. Monitor exceptions, liaise with internal teams and vendors, support reporting and audits, validate scanned records, and participate in UAT and ad-hoc process improvements while ensuring compliance with SOPs and SLAs.

Lead digital, data, and AI adoption by partnering with business leaders, designing enablement and change programs, supporting pilots, measuring adoption KPIs, and advising stakeholders to scale user-centric analytics and AI solutions.

Lead causal modeling and optimization for promotional spend across mobility, delivery, and logistics. Own end-to-end uplift and incrementality modelling, experiment and quasi-experiment design, heterogeneous treatment effect estimation, and budget-constrained allocation. Mentor data scientists, productionize models at scale, partner with product and engineering, and translate model outputs into business budget decisions.

Lead technical consulting teams for pre-sales, delivery, maintenance and offshore vendor management for customer communication and enterprise content management solutions. Own technical solutioning for bids, ensure project delivery and support SLAs, manage vendor operations, coach staff, track operational metrics, and drive continuous improvement across professional services.

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Support development and implementation of sparse boosting methods for high-dimensional spatial autoregressive models. Perform simulation studies, computational optimization, real-data applications, and prepare reproducible code, reports, presentations, and manuscripts while collaborating with the PI and partners to meet project milestones.

Plan and execute end-to-end data transformation and migration for large, complex datasets. Lead extraction, validation, reconciliation, mock runs, trial loads, and final cutover while ensuring traceability, audit compliance, and database performance in high-scrutiny government-linked environments.

As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.

The Senior Data Scientist leads the design and development of machine learning models in healthcare, collaborating with cross-functional teams to deliver impactful insights and compliance.

The role focuses on driving revenue growth through AI-driven solutions and technology sales, involving customer engagement and collaboration with the Salesforce team.

Assist in building and maintaining data ingestion pipelines and storage for AI workflows. Implement deployment, security, and monitoring for applications; collaborate with stakeholders and design teams; test and validate data verification and AI workflows; document solutions and follow best practices while continuously learning new tools.

Lead and mentor a logistics analytics team to deliver insights on fleet performance, delivery efficiency, and cost optimization. Shape analytics roadmap, design performance metrics and AI data products, apply decision science and operations research, manage end-to-end analytics execution, and present executive-ready recommendations to drive measurable improvements.

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Support the Data Science team to design, develop, deploy, and maintain analytics and ML solutions for manufacturing. Responsibilities include data collection/cleansing, EDA, predictive modeling, stakeholder collaboration, production deployment support, and presenting results to leadership.

Operate, maintain, and optimize hybrid cloud Data and AI platforms (Cloudera CDP/CML, Hadoop, Spark) across AWS and on-prem. Perform platform upgrades, security patching, container/Kubernetes/OpenShift administration, monitoring, troubleshooting, and automation using Shell/Python. Collaborate with Infrastructure, Security, SRE, and Data/ML teams to ensure availability and scalability of AI/ML and Generative AI services (SageMaker, EMR, Bedrock).

Lead functional business analysis for enterprise KYC/AML capabilities across Group Technology & Ops. Manage stakeholder relationships, define capabilities, translate business requirements into functional and non-functional requirements, oversee testing and scope control, support deployments and post-go-live knowledge transfer, and lead and develop a team of functional business analysts.

Operate and maintain Tencent's overseas big-data platforms for platform and cluster stability; troubleshoot platform/component errors and performance issues; assist users; optimize workflows, costs, and architectures; and develop operational tools for capacity management, DevOps, automation, coverage analytics, and health monitoring.

Support the AI team to build generative AI and computer vision solutions: code in Python, explore and analyze datasets, identify patterns, report findings, and implement models using PyTorch, TensorFlow, scikit-learn, and pandas.

Analyze casino operations and product performance, build models and ML solutions for floor optimization, demand forecasting and manpower scheduling, create dashboards and A/B tests, collaborate with Operations, Marketing, BI, and IT to translate analytics into business strategy and operational improvements.

Abstract and enter clinical data from health records, ensure data quality and confidentiality, use EHR/practice management systems and Microsoft Office, troubleshoot basic access/VPN/MFA issues, and collaborate with clinical teams to support operations.

Analyze payment flows and network fees, translate network specifications into billing models, identify cost-saving opportunities, partner with engineering, product, and finance, maintain fee accuracy and alerts, document and scale operational processes, and educate stakeholders.