Top Data Jobs in Singapore

Lead cost management for MEP data centre construction projects from initiation to completion. Oversee cost planning, estimating, reporting, value engineering, risk and contract management, client/stakeholder engagement, team leadership, invoicing via Dynamics 365, and business development activities to meet budgetary and quality targets.

The Senior Data Scientist will build and manage the intelligence layer of the Railway Common Data Platform, implement machine learning solutions, and enhance operational efficiency through data analytics and AI capabilities.

Own end-to-end data systems: ingest into BigQuery using Airflow/Dataflow/Python, model with dbt, deliver analysis in Hex, provision infra with Pulumi, instrument reliability and cost-effective partitioning, trace metrics to source, partner with growth/finance/product, and incorporate AI tooling responsibly into the pipeline.

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.

The Partner Development Manager is responsible for strategizing and managing partnerships with GSIs and System Integrators in ASEAN to drive revenue, increase brand awareness, and develop go-to-market strategies.

The Data Visualization Developer will create and support dashboards in Power BI, develop SQL scripts, perform regression testing, and troubleshoot existing scripts.

The Senior Data Scientist will lead growth analytics, measure channel performance, build AI-powered tools, and partner with growth teams to enhance user acquisition and retention.

The Data Architect will define and maintain data architecture, drive data solutioning, establish governance frameworks, guide implementations, and collaborate with teams in the healthcare sector.

This role involves providing technical support, implementing, and maintaining enterprise IT infrastructure, including troubleshooting, system upgrades, and supporting disaster recovery planning.

The Head of Data Discovery manages the bank's data discovery platform, ensuring data accessibility and compliance, while enabling analytics innovation across various business units.

The Data Scientist will develop AI-driven solutions for supply chain optimization, utilizing advanced analytics, machine learning, and statistical modeling to deliver business impact.

Lead development of personalization and recommendation systems using large-scale transactional data. Define model strategy, build and deploy scalable ML pipelines, run experiments to measure impact, mentor data scientists, and collaborate with Product and Engineering to drive customer engagement and transactions.

As a Senior Data Scientist, you'll design and implement advanced retrieval and ranking algorithms for GoFood and GoPay, enhancing user experience and business impact through innovative solutions.

The Data Scientist will support analytics projects, collaborate on predictive solutions, and assist in deploying machine learning models while engaging stakeholders across GlobalFoundries.

As a Transformation Consultant, you'll lead strategic projects, engage with clients, identify business opportunities, and support sales to enhance organizational capabilities.

Design, build, and optimize end-to-end data ingestion and ETL pipelines on AWS into governed data lake zones. Implement data quality frameworks, error handling, and metadata/catalog management. Use IaC (Terraform/AWS CDK), write tests, support UAT, produce runbooks/documentation, and participate in Agile delivery.

Oversee health, safety and environment (HSE) for data centre construction projects across multiple sites. Conduct daily site visits, audits, safety walks, report incidents and near-misses, manage contractor inductions, ensure corrective actions, prepare monthly safety assessment reports, and support project management to achieve zero incidents and compliance with client protocols.

Design, build, and deploy production-grade ML models (cross-sell, upsell, recommendation, LTV), automate model lifecycles with SageMaker, leverage LLMs for personalization and insight generation, run A/B tests, collaborate with product and engineering, and mentor junior data scientists to drive measurable revenue outcomes.

The Data Engineer will optimize data infrastructure, develop scalable ETL processes, establish data governance, and collaborate with data teams to ensure data accuracy and performance.

As a Data Engineer, you'll design and develop cloud-native data platforms, create scalable data pipelines, and support analytics and reporting across teams.

Serve as the post-sale technical and commercial lead to drive adoption and consumption of Salesforce Data Cloud & Agentforce. Build executive relationships, develop consumption and adoption plans, provide architecture and integration guidance, identify and mitigate risks, coordinate cross-functional teams, and evangelize use cases to accelerate value and ACV growth.

Lead technical design, development, and deployment of data platforms, analytics, and AI solutions. Set architecture, standards, and governance; drive MLOps/DataOps practices, model governance, and integration (including robotics). Provide hands-on delivery, technical direction, and mentorship to ensure scalable, secure, and reusable AI capabilities.

Lead regional AFC/AML analytics capability: design, build, validate and deploy AML/fraud detection models; guide country analytics teams; ensure model governance, data suitability, and production readiness across stakeholders and regions.

Design, build, deploy and maintain AI/ML and Generative AI solutions for government agency clients. Responsibilities include stakeholder collaboration, data cleaning and feature engineering, model development (classification/regression/LLM-based), backend API and frontend interface development, monitoring of deployed models, and researching/employing modern LLM frameworks, vector DBs, and agent techniques.

Lead and deliver concurrent standard or complex client projects from concept to implementation, manage scope, budget, risks, issues, and stakeholder communications, act as single client contact, support pre-sales, and ensure successful handover to operations.