Top Data Jobs in Singapore

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

Lead APAC marketing for Vantage, owning regional strategy, budget, campaigns, PR, content, events, sales enablement and team/agency management while aligning with global objectives and reporting KPIs.

Lead AI initiatives in the insurance sector, develop predictive models, and support data strategy while collaborating with global teams to drive analytics solutions.

Senior leader accountable for defining and driving service adoption strategy for Technology Infrastructure Services. Leads adoption teams, develops adoption plans, stakeholder and training programs, measures adoption outcomes, mitigates risks, and aligns adoption with technical implementation to realize client value and drive retention and growth.

Lead a rapid‑response PMO to drive enterprise transformation across AI, data analytics, digital assets and platform initiatives. Diagnose complex cross‑domain problems, prototype and scale production solutions, institutionalise reusable architectures and governance, manage partners, and align stakeholders to accelerate secure, compliant, and enterprise‑grade innovation.

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.

The Sales Executive will drive revenue acquisition, exceed sales targets, and develop strategies across territories, focusing on consultative sales for financial services solutions.

As a Junior Data Scientist, you'll assist the Data Science team in developing analytics solutions, deploying data science projects, and collaborating with stakeholders. Responsibilities include building data pipelines, conducting data analysis, and monitoring model performance.

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.

Lead Data Scientist responsible for developing and deploying multilingual large language models, building datasets, and improving AI safety alignment.

Lead AI and machine learning solutions for insurance analytics. Oversee model performance, drive data strategy, and collaborate regionally to enhance business growth through advanced analytics.

The Scheduler is responsible for planning, scheduling, and monitoring Data Centre projects, ensuring timely delivery by coordinating with stakeholders and tracking progress.

Lead development of advanced digital twin models and AI-driven solutions for semiconductor fab operations, enhancing performance and decision-making.

The Consultant/Senior Consultant will manage projects, develop practice-related content, and enhance data delivery methodologies, ensuring timely and quality project completion.

The role involves leading data governance and finance transformation projects, supporting client initiatives, and implementing enterprise data strategies for financial institutions.

The Senior Data Engineer will design and build large-scale data pipelines, leveraging cloud platforms and technologies like Databricks and AWS, ensuring effective data solutions for clients.

Develop and implement computer vision algorithms, evaluate model performance, and integrate solutions into larger systems, while maintaining documentation and staying updated on technology advances.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

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

The Data & AI Scientist will analyze datasets, create AI products, develop analytics solutions, and collaborate with teams to optimize operations.

The Data Analytics Senior Lead Engineer manages complex data projects, leads a team, and makes strategic recommendations based on data insights to improve product capabilities across multiple business regions.

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

The intern will analyze media performance, support AI tool development, contribute to modeling methodologies, and create data visualizations, while collaborating with teams.

Seek an Entry-Level Data Scientist to analyze semiconductor data, build predictive models, develop dashboards, and support quality investigations.