Top Data Jobs in Singapore

Lead data initiatives by partnering with executives, applying causal inference methods, mentoring junior members, and building data products to support business growth.

As a Staff Data Scientist, you will partner with executives, utilize causal inference for business impact analysis, mentor juniors, and build data products.

The Senior Lead Data Architect develops high-quality data architecture solutions and provides technical guidance, while influencing decisions and advocating best practices in data governance.

The Data Quality Lead will develop data quality practices, modernize data services, oversee cross-functional teams, and establish analytics capabilities in a digital environment.

As a Data Quality Analyst, ensure data accuracy and comprehensiveness through quality assurance processes, control assessments, and remediation of quality issues.

Lead moderately complex supply chain data projects, analyze trends, utilize digital technologies, and ensure compliance with regulatory standards.

The Senior Data Scientist will analyze data to influence marketing strategies, develop reports, and collaborate with teams to enhance business growth.

The Senior Data Scientist will develop and deploy machine learning models for risk management, focusing on predictive modeling and data solutions to improve risk signal coverage.

Analyze compliance impacts on transactions, develop risk detection frameworks, and collaborate across teams to enhance compliance risk strategies.

Design and develop credit risk models for SME lending, analyze compliance impacts, and mentor junior analysts in the risk product domain.

Lead quality assurance for Preqin's alternative assets data, managing a team to ensure accuracy, reporting metrics, and improving data processes.

As a Staff Data Scientist, you'll partner with leaders to derive insights from data, build forecasting tools, mentor juniors, and enhance business efficiency using AI and causal inference methods.

Lead the Data Infrastructure team in designing and maintaining scalable software systems and tools while ensuring high quality and security standards.

The Senior Data Scientist will optimize payment performance, conduct experiments, and partner with cross-functional teams to inform product strategy and decisions.

Manage risk portfolio and provide insights on financial market risks. Use statistical and machine learning models to optimize decision-making.

The Senior Data Scientist will design experiments, develop optimization algorithms, and build predictive models to enhance payment success rates. Collaboration with cross-functional teams is essential to influence product strategies.

The Staff Data Scientist will lead the data science team, mentor members, influence product strategy, and apply quantitative analysis to enhance fintech solutions.

The Senior Data Platform Engineer will design and implement data processing systems, optimize data storage, and mentor junior engineers to enhance data-driven decision-making.

The Senior Data Scientist will enhance product strategy through data analysis, collaborating with cross-functional teams to improve business metrics.

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

The Senior Data Platform Engineer will design, build and maintain data pipelines, optimize data processing, and collaborate on data handling solutions within the Growth Team.

As a Data Science Engineer, you will analyze large datasets using machine learning techniques to develop predictive models and solutions, collaborating across teams to enhance data analysis processes.

As a Senior Data Scientist, you'll create scalable ML algorithms, process large datasets, design deep learning models, and evaluate algorithms for recommendations.

Lead the development of conversational AI technologies, analyse data, design machine learning models, and collaborate across teams to enhance user experience.

The Senior Global Business and HR Data Analyst will analyze HR data, create reports, and provide insights to improve decision-making across the organization.