Top Data Jobs in Singapore

The Senior Data Scientist will analyze risk, develop financial crime detection solutions, and optimize risk strategies using advanced analytics and machine learning.

The (Senior) Data Platform Engineer will design and build data pipelines, manage data infrastructure, and ensure data quality and consistency across the Growth Data Platform.

As a Senior Data Platform Engineer, you will design and optimize data infrastructure, develop data processing systems, and mentor junior engineers to drive data-driven initiatives.

As a Senior Data Scientist, you will collaborate with regional executives and various teams to leverage data for insights, support forecasting with statistical methods, and develop data products to drive strategic growth.

Lead the Data DevOps team by developing and maintaining data infrastructure, enhancing tooling for self-service capabilities, and ensuring software quality and functionality.

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

The role involves leading BIO initiatives, collaborating with sales teams, enabling digital capabilities, and engaging stakeholders to enhance agent productivity and business outcomes.

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.

As a Data Scientist at Micron, you will analyze big data sources, develop software for data processing, deploy models, and extract actionable insights for product and service improvement.

The Data Scientist will analyze large datasets, develop AI applications, and collaborate with cross-functional teams to create innovative solutions. Responsibilities include building computer vision systems, deploying deep learning models, and integrating AI tools for operational improvements.

As a Data Science Engineer, you'll analyze big data, develop models, deploy solutions, and communicate insights to improve products and services.

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 Engineering Director will lead software engineering teams, set technical direction, ensure product quality, and foster innovation and collaboration.

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 Director of Data Partnerships will develop and execute strategic partnerships in the SEA region, enhancing commercial impact through collaboration with brands and agencies, while managing cross-functional relationships and representing the company in industry dialogues.

The Enterprise BD Manager will expand and maintain key enterprise accounts, driving growth through strategic relationships and complex solution structures in maritime risk and sustainability.

The Technical Product Manager is responsible for product outcomes across the lifecycle, involving product vision, stakeholder engagement, backlog prioritization, and technical leadership.

The Transformation Lead for AI in APAC will manage change and drive adoption of AI tools across the studios, engage stakeholders, and run training programs.

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 role involves developing technology policies, conducting research, coordinating AI efforts, and engaging with stakeholders to strengthen Singapore's digital economy.

The role involves researching technology policies, analyzing trends, developing strategies for emerging technologies, and coordinating efforts within IMDA for effective policy implementation and stakeholder engagement.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

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