Top Data Jobs in Singapore

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

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.

The intern will support the Business Decisioning and Analytics team by operationalizing AI and data analytics best practices, contributing to data innovation initiatives, and learning about the impact of technology in banking.

This internship involves leveraging AI and data analytics for business decision-making, supporting use case testing, and contributing to data innovation initiatives.

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 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.

Executive leader responsible for overseeing multiple Financial Services accounts, driving revenue and market presence, leading AI-enabled digital transformations, mentoring senior leaders, and ensuring governance and client outcomes across large complex engagements.

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 workstreams and client relationships for Financial Services engagements, embedding AI and digital capabilities. Mentor junior staff, run workshops, synthesize analysis into strategic recommendations, ensure delivery quality, support proposals and business development, and drive continuous improvement across large-scale programs.

Multiple senior leadership roles across go-to-market, adoption, application solutions, services delivery, sales, and AI delivery. Responsibilities include developing practice strategies, driving revenue and P&L, leading teams, accelerating technology adoption, ensuring service delivery excellence, and overseeing AI engineering delivery for GenAI and agentic AI solutions.

Develop and implement statistical models for data analysis, collaborate with teams for process improvement, and present findings to management. Stay updated on data science and machine learning advancements.

Seeking a Data Engineer with 4-6 years of experience in big data technologies, data pipelines, and databases, mainly in the financial services sector.

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.

The Data Analyst II will resolve complex data issues, create visualizations, analyze datasets, ensure data quality, and support data infrastructure needs.

As a Data Scientist at Kyndryl, you will analyze data, develop predictive models, and integrate machine learning features into production systems, focusing on privacy-enhancing technologies.

As an AI/Model Governance Intern, you'll support AI governance processes, maintain model inventory systems, ensure data quality, and contribute to projects on AI risk management.

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.

The Cloudera Data Engineer is responsible for building and managing data pipelines and platforms, focusing on the Cloudera Hadoop ecosystem while collaborating with data teams.

Lead the design and implementation of a secure, scalable cloud data platform on AWS, integrating various tools for data management and analytics while ensuring compliance and security.

The role involves overseeing data center infrastructure, managing teams, optimizing processes, and ensuring operational efficiency in cloud operations.

Lead the implementation of data analytics strategies, managing interdisciplinary teams to deliver data projects, overseeing budgets, and ensuring client engagement.

Design and develop advanced Reinforcement Learning (RL) solutions for gaming, optimizing agent performance, and collaborating with engineers and developers.

The role involves leading AI integration, data analysis, and collaboration with stakeholders while mentoring junior analysts and optimizing business processes.