Top Data Science Jobs in Malaysia

The intern will lead digital transformation projects, analyze data using Power BI and Excel, assist in application deployments, and generate reports.

Lead Data Science efforts for specific markets, partnering with leaders to strategize around client needs and innovative solutions using data. Coach junior scientists and align with technology teams.

The internship involves developing and optimizing digital systems, analyzing data for insights, and supporting operational efficiency through technology solutions.

The Data Scientist leads analytics initiatives for credit card portfolios, utilizing statistical models and machine learning to drive business growth and optimize risk management.

This internship focuses on assisting in AI and Data Science projects by supporting research, data analysis, and development tasks under the guidance of senior team members.

The selected candidate will support the implementation of Data Science solutions in manufacturing, collaborate with cross-functional teams, and develop scalable AI solutions.

The role involves delivering AI solutions, driving innovation with emerging techniques, shaping AI architecture, and empowering the data community within IRAS.

Support DataX initiative for Exploration & Development Division by assisting in data analysis for UDP adoption and AI/ML features.

The Data Science Intern will assist in data collection, analysis, and developing models, while learning practical skills in data science.

The Staff Engineer in Data Science is responsible for developing predictive models for inventory optimization, collaborating with teams to solve challenges, analyzing datasets, and maintaining dashboards for supply chain efficiency.

As a Senior Manager of Data Science, you'll lead data science efforts, collaborate with teams, innovate solutions, and mentor junior data scientists to meet business needs.

The Data Science Manager will lead efforts in consumer behavior analysis, support stakeholders, and develop methodologies and prototypes for Consumer Measurement products.

Support big data analytics, develop models using machine learning, enhance data collection, and ensure compliance with regulations. Lead AI/ML projects and present results to solve business problems.

Assist in managing pipeline integrity tools and databases, maintain data on SharePoint, develop dashboards in Power BI for asset integrity, and support analysis and reporting as needed.