Top Data Science Jobs in Kuala Lumpur

Intern will lead digital transformation initiatives, assist with application deployment, evaluate new applications, coordinate meetings, and generate reports.

The intern will lead digital transformation initiatives using data engineering and analytics tools, assist in software deployments, coordinate meetings, and generate reports.

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

The intern will drive digital transformation by analyzing data, transforming processes, supporting software deployments, and generating reports while collaborating with teams.

The intern will lead digital transformation initiatives in engineering, transform data processes, assist in application software deployment, and generate reports under supervision.

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

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

The role involves leading data science projects, analyzing data for actionable insights, and managing client deliverables. Responsibilities include project management, data analysis, and innovative solution development.

The AI Product Owner leads the delivery of AI products in APAC, managing backlogs, facilitating agile workflows, and ensuring product commercialization and scalability.

Assist in developing and refining quantitative trading strategies, support pricing models, conduct data analysis, and build AI tools for insights.

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

Develop data solutions for business decisions by applying analytics, experimentation, and machine learning. Collaborate with teams to improve products and enhance decision-making processes.

The Data Science Analyst will provide data-driven solutions for client requests, support client understanding of Data Science methodologies, create innovative solutions using diverse data sets, and automate existing processes.