Top Data Jobs in Singapore

As a Senior Data Scientist, you will develop digital twin solutions and predictive analytics to enhance semiconductor manufacturing processes using AI and machine learning.

As a Senior Data Scientist, you'll develop models and insights from big data, collaborate with teams to solve operational issues, and enhance products using data analytics and simulations.

Responsible for leading the development and maintenance of a data analytics platform, prioritizing product backlog, ensuring data quality and compliance, and collaborating with cross-functional teams for feature deployment.

Lead the design and management of data and analytics solutions in banking, focusing on architecture, team leadership, and regulatory compliance. Develop AI/ML applications and ensure scalable platforms for enterprise use.

The role involves developing an analytics platform, optimizing marketing campaigns, advising on MarTech strategies, and leading client workshops, with a focus on enhancing client digital maturity.

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.

The role involves developing and implementing data protection strategies, compliance with data privacy laws, conducting impact assessments, and managing data governance initiatives.

Assist in data collection and annotation processes to enhance self-driving software development, collaborating with teams for data quality and sensor calibration.

The role involves providing support and maintenance for .NET applications, troubleshooting issues, collaborating with teams, and optimizing application performance.

The Senior Client Manager will leverage advanced experience to develop complex operational initiatives, manage business targets, and interact persuasively with key stakeholders, fostering innovative solutions and client success.

As a Senior Data Scientist, you will develop and deploy advanced AI models in deep learning, focusing on computer vision, voice, and text processing. Responsibilities include model optimization, performance evaluation, and collaboration with engineering teams.

Lead Data Scientist to manage complex analytical projects, design and implement machine learning models, mentor junior team members, and collaborate with stakeholders to drive data-driven solutions.

The role involves analyzing user growth, optimizing growth funnels, developing user segmentation, evaluating marketing effectiveness, and collaborating with cross-functional teams to improve data strategies.

The Data Compliance Manager designs global product solutions for data compliance, analyzes regulations, manages product lifecycles, and promotes compliance products.

The Senior Data Analyst will build Power BI dashboards, design data models, perform data analysis, and collaborate with stakeholders to gather insights.

The Data Management Specialist will develop data governance tools, collaborate on metadata standards, and implement solutions for data quality and integrity.

As a Data Scientist, AVP, you will leverage data to develop AI solutions, collaborate with stakeholders, and deploy models, improving business outcomes.

Interns will utilize LLMs to summarize and compare regulatory texts, as well as build data augmentation pipelines for fraud models.

Lead the company's data strategy by building performance dashboards, analyzing metrics, setting KPIs, and managing data infrastructure. Collaborate with various departments to align strategies and drive growth through data insights.

The Finance Compensation Data Specialist will manage compensation data reports, analyze data for business insights, and ensure compliance in financial operations.

As a Senior Data Support Engineer, you will manage data pipelines' reliability, collaborate with teams on solutions, mentor juniors, and ensure system performance and health.

The Data Analyst will analyze and optimize the software lifecycle by utilizing advanced data analysis skills in Excel, Power BI, and SQL, enabling insights into enterprise software utilization, cost, and management.

The Assistant VP, Data Scientist will develop and deploy AI applications, collaborate with stakeholders, and lead AI initiatives within the bank.

This role focuses on processing Policy Services requests, managing customer change requests, and driving process improvements within Policy Services team.

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