Top Data Jobs in Singapore

Seeking a Senior Data Scientist to design, deploy, and iterate data science solutions that enhance customer acquisition, engagement, and retention. Responsibilities include predictive modeling, statistical analysis, and collaboration with various teams to shape growth strategy.

As a Senior Data Scientist, you'll analyze business needs, implement ML solutions, and collaborate with teams to manage risk in international payments.

Lead analytics for regulatory reports, standardize data usage, build test frameworks, analyze data anomalies, and mentor colleagues in compliance domains.

As a Senior Data Scientist in Analytics (Risk & Compliance), you will lead analytics projects, ensure robust data foundations, and collaborate cross-functionally to improve regulatory compliance and risk oversight.

Lead technical decision-making and development for core infrastructure, optimize distributed systems, and mentor engineers while working with AI-driven products.

The Account Manager will drive sales processes, manage customer accounts, and develop strategic relationships to achieve revenue targets. Responsibilities include creating sales plans, managing existing clients, and identifying new business opportunities while collaborating across departments.

Act as a strategic technology advisor to enterprise customers, guiding digital transformation using Salesforce and related technologies. Shape roadmaps, apply enterprise architecture best practices, lead stakeholder engagement at executive levels, mentor teams, and drive delivery governance and change management across CRM, data, AI, and integration landscapes.

As a Consultant, you'll develop data strategies and optimize data operations for clients in Financial Services or Insurance, overseeing projects and ensuring effective communication with stakeholders.

The Director will architect AI and Privacy Enhancing Technology solutions, engage with regulators and partners, and guide initiatives to enhance AI and PET adoption within Mastercard's framework.

As a Director, you will lead AI programs focused on regulatory engagement and the production and adoption of Responsible AI toolkits, working with key stakeholders and managing cross-functional roadmaps.

The role involves leading technical product management and solution architecture for Responsible AI tools, ensuring implementations meet governance, usability, and scalability while collaborating with various stakeholders.

The Senior Data Scientist will define and execute a roadmap for backend technology, manage KPIs, collaborate on IT tasks, and develop solutions using programming languages like Python and C#.

As a Staff/Senior Data Scientist, you will analyze complex data sets to drive product improvements, collaborate with cross-functional teams, and communicate insights to influence strategy. Your role requires strong quantitative expertise and experience in data analysis and statistical methods.

The AI Architect will develop AI solutions, support the global AI sandbox, provide technical guidance, and optimize AI products while collaborating with various stakeholders.

Develop and deploy product disposition solutions, utilize data analysis for yield improvement, create deviation alert systems, and mentor team members while promoting innovation through AI and ML.

The Director leads data quality engagement and remediation in AP, ensuring alignment with business impact and regulatory needs. The role involves stakeholder management, prioritization of initiatives, and improving data quality across teams.

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.

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

Own and maintain the analytics stack: implement tracking from user interaction to Mixpanel/GA4/AppsFlyer via Segment, manage infrastructure with Terraform, audit pipelines and schemas, translate business needs into tracking, and configure troubleshooting for mobile/web attribution, deep-linking, and postbacks.

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 AI Data Specialist will perform tasks like data collection, evaluation, annotation, and tagging across various content types, primarily focusing on AI-generated content in Chinese.

Lead the development of AI and ML solutions for underwriting, manage a team of data scientists, and ensure compliance and governance in initiatives.

Design and develop reinforcement learning solutions for gaming, collaborate with teams, optimize agent performance, research methodologies, and analyze failures.

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.