Top Data Jobs in Singapore

The Senior/Lead Data Engineer designs and optimizes data solutions on Alibaba Cloud, develops data pipelines, manages data warehouses, and ensures data quality and compliance.

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

The Data Analyst will support digital transformation by automating workflows, managing data, building dashboards, and enhancing business operations with AI technologies.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

The Data Engineer will manage the end-to-end data lifecycle, collaborating with quantitative researchers to support investment strategies and ensure data quality and readiness.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

Plan and execute rolling upgrades across tens of thousands of ClickHouse clusters, own the full release pipeline, investigate and resolve production issues (on-call), and build automation and tooling to make large-scale database operations safe and repeatable.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

The Master Data Specialist ensures accurate master data management by validating data for SAP, advising customers, and enhancing data quality while managing urgent requests.

Lead the business analysis function for AI and data initiatives: define roadmap, translate stakeholder needs into requirements, design use cases and solutions, ensure governance and compliance, drive adoption, training, and continuous improvement.

The Growth Data Scientist will analyze complex datasets to improve ad performance, collaborate with teams, and influence product strategies.

The role involves leading technical architecture for data and AI solutions, guiding customers on integration with Salesforce and external platforms, and developing prototypes and best practices.

Lead Data Engineers design and implement data solutions, manage projects, collaborate with stakeholders, and ensure data governance and security.

Senior Data Scientists at Thoughtworks utilize advanced statistical techniques and machine learning to solve business problems, communicate insights, and guide cross-functional teams.

The Chief of Staff will support the APAC President in strategic initiatives, stakeholder management, and operational efficiency while ensuring alignment across regional priorities.

As a Data Science and Engineer Intern, you will gather user requirements, assist in ETL pipeline development, create statistical models, and develop BI dashboards while supporting AI initiatives.

Lead and scale Visa's Asia Pacific data science organization to deliver AI-first, high-impact analytics and commercial outcomes. Drive client engagements, P&L results, commercialization of analytics, cross-functional partnerships, and regional capability building across multi-market teams.

Lead end-to-end development of computer vision and multimodal ML models for defect detection, segmentation and classification. Co-design AI-ready inspection cells integrating imaging, robotics and NDT hardware. Partner with data engineers on ETL and Databricks/AWS S3 architectures. Deploy and monitor models in production (on‑prem, cloud, edge). Translate shop-floor inspection requirements into scalable, repeatable digital inspection solutions and collaborate with engineers to productize models into applications and workflows.

Design and productionize LLM/GenAI solutions (RAG, search/Q&A, extraction, summarization) for document-driven inspection workflows. Build ingestion/indexing pipelines, integrate services with applications, drive PoCs to production, and ensure responsible, governed model use with cross-functional teams.

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.

Lead large-scale, multi-country financial services transformation projects; build senior client relationships; identify and shape new business; embed AI and digital capabilities; mentor consultants; ensure delivery quality, profitability, and measurable business outcomes.

Lead consulting workstreams in Financial Services, embed AI and digital capabilities, manage client relationships, mentor junior staff, run workshops, produce strategic recommendations, and support business development.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.

Lead the development and delivery of reporting and analytics platforms, optimizing marketing campaigns, advising on MarTech solutions, and driving digital maturity for clients.

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.