Top Data Jobs in Singapore

The role involves designing software and algorithms to analyze large datasets for actionable insights, enhancing production processes and product development.

The IT Engineer (Data Services) is responsible for database system management, performance tuning, compliance, incident resolution, and automation of database operations.

The Data Scientist will analyze big data to develop predictive models and actionable insights, collaborating with various teams to enhance products and services.

The Principal Advisor leads technology transformation initiatives, shaping strategies and governance to ensure successful delivery and alignment with business outcomes across various domains such as cloud and data. They engage with senior executives, oversee presales activities, and guide organizational change while developing new consulting methodologies and frameworks.

The Senior Counsel will ensure Mastercard's compliance with privacy and data protection laws, supporting business teams and developing privacy policies in the AP region.

The AVP will lead UOB's partnerships and ecosystem development, enhancing the Innovation Group's strategic initiatives with external stakeholders and emerging technologies.

As a kdb+ Engineer, you will develop and maintain applications, support project delivery, analyze time-series data, and mentor junior developers.

Lead technical delivery of projects, design kdb+ architectures for time-series data, mentor developers, and drive innovation in kdb+ systems.

As an Analyst in Data Science, you'll develop AI/ML solutions, collaborate across teams, and enhance customer experience through innovation. Responsibilities include coding, prototyping, and optimizing algorithms for business challenges.

The role involves developing and optimizing AI computing infrastructure, focusing on distributed training, compute scheduling, and end-to-end model engineering for gaming applications.

The IBP Data and Technology Steward will lead the design and operationalization of data models and structures for Integrated Business Planning while mentoring junior data scientists and ensuring data quality for effective decision-making.

The Data Analytics Lead will work with senior leadership on strategic projects, focusing on high-impact analytics solutions and driving execution for tangible results.

The Research Editor will create, update, and manage Risk & Compliance profiles, research regulatory changes, and support translation services. Requires language fluency and analytical skills.

This internship involves developing automated data pipelines, integrating data for performance tracking, and supporting R&D teams with predictive analytics and visualization through tools like Power BI and AI.

The role involves developing AI models, translating business problems into data science solutions, and integrating models into a marketing platform for influencer marketing.

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

Lead the growth and performance of Airbnb's Homes business in Southeast Asia, managing teams to expand quality supply and enhance guest experiences. Collaborate cross-functionally to ensure market success and monitor business performance against KPIs.

The Senior Data Scientist leads the design and development of machine learning models in healthcare, collaborating with cross-functional teams to deliver impactful insights and compliance.

As a Data Scientist, develop models using data science and Generative AI, collaborate with stakeholders, support AI products deployment, and conduct data analysis.

Lead the strategy and operations of Technical Services for the Data Centre Group in APAC, driving growth and client development while overseeing engineering standards and financial performance.

As a Data Engineer, you will design and maintain data infrastructures, build ETL pipelines, collaborate with teams, and ensure data quality.

The Project Manager (Data Centre) oversees project scope, planning, budgeting, risk management, stakeholder communication, and quality assurance to ensure successful project delivery in line with Cushman & Wakefield standards.

Lead large-scale analytic projects focusing on driving business impact through strategic analysis and machine learning/NLP models in the financial sector.

This internship involves developing data processing platforms to support semiconductor and display manufacturing. Interns will engage in hands-on work within a global team to drive innovation.

Data Scientist II role focused on building AI/ML models for optimization. Responsibilities include data analysis, model training, and collaboration across teams to implement AI/ML solutions.