Top Data Jobs in Singapore

Design and evolve a governed data, knowledge, and skills platform for analytics and AI agents. Lead data modelling, regional data localisation, semantic layer and metric-store design, agent APIs, and Governance-as-Code to ensure quality, lineage, and compliance across global Databricks environments.

As an Enterprise Account Executive at vCluster Labs, you'll manage sales cycles, strategize territory plans, and navigate complex organizations to close large-scale agreements while articulating business value and maintaining accurate forecasts.

The Business Development Executive will build relationships with healthcare stakeholders, identify growth opportunities, support proposals, and engage in market expansion while tracking trends in the Singapore healthcare ecosystem.

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.

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

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.

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

Manage data center site selection activities, including sourcing, evaluation, due diligence, and acquisition strategy to support Vantage's expansion across APAC.

Design and develop full stack web applications for data-driven and AI initiatives, working with data scientists and business stakeholders.

Lead technical consulting and solution implementation for Tencent Cloud Big Data overseas accounts. Design end-to-end big data architectures, run PoCs, communicate Tencent Cloud value vs competitors, collaborate with R&D and cross-functional teams, and drive product globalization by surfacing international requirements like data compliance and multi-cloud strategies.

The role involves collecting and analyzing complex data to provide insights, creating dashboards, and collaborating with teams to drive digital growth and strategy.

This internship involves supporting program management, tracking performance, analyzing data, and communicating insights on growth initiatives in APAC services.