Find the Best Graduate Jobs & Graduate Programs in Singapore
Showing opportunities in the Energy, Oil and Gas, Utilities sector
Successful candidates will work on projects in one of the departments in SIA, depending on the course you are taking.
Be part of our vibrant and evolving tourism landscape by joining us as a Management Associate. Every new graduate will be groomed under an exciting 12-month Management Associate Programme to gain exposure and hone skills through hands-on assignments.
Supporting with copy editing for internal communications, developing curated content for social media platforms, etc.
Execute and support learning initiatives in ASEAN to promote new learning culture of active and self-directed learning.
Provide reporting and strategic analytical support for Singtel Wellness team using analytical tools including SQL and Google Analytics, and work closely with another key stakeholders including analytics teams and IT to deliver the above
Assist in execution of the Business Unit's application development project (Web, iOS, Android, AWS), assist in design and development of the product, etc.
Data Analytics team in Siemens DigiHub strives to find solutions for exciting problems in heterogeneous domains ranging from industry, energy, mobility and building technologies - smart cities, by building data acquisition strategies using scalable data pipeline, distributed data storage & management, & building data application for visualization.
Siemens Bank GmbH Singapore Branch operates as a merchant bank in Singapore and forms part of Siemens Financial Services, a pure play financial services business of SIEMENS AG and provides financing solutions to customers of SIEMENS in the Asia Australia region focusing on the energy and infrastructure sectors. The branch in Singapore offers project and structured finance debt solutions, equity and financial advisory services.
Data Analytics/AI team in Siemens DigiHub strives to find solutions for exciting problems in heterogeneous domains ranging from industry, energy, mobility and building technologies - smart cities, by applying methods and principles of distributed data management and data sciences such as machine learning, deep learning, computer vision, mining and pattern recognition of time-series sensor data.