Data Scientist
As a Data Scientist within the R&D team at ENGIE Lab Singapore, you will be responsible for executing various research projects and developing robust data-driven solutions leveraging machine learning, data analytics, IoT, and AI techniques. This role involves supporting the lab's programs, participating in product development, engaging in R&D projects, and performing physical modeling and mathematical optimization of energy systems.
ENGIE is a global energy and services group, focusing on three core activities: low-carbon power generation, global networks and customer solutions. Driven by its ambition to contribute to a harmonious progress, ENGIE take up major global challenges such as the fight against global warming, access to energy to all, or mobility, and offer our residential customers, businesses and communities energy production solutions and services that reconcile individual and collective interests.
ENGIE Lab Singapore is the research centre of ENGIE for Asia-Pacific. ENGIE Lab Singapore brings the technical expertise of ENGIE Research in APAC by developing local expertise leveraging on ENGIE Research networks and allowing access in the region to all the technical expertise developed by ENGIE Research in Europe. Bridging the gap between ENGIE Research and business units ENGIE Lab Singapore play a key coordinator/local technical support role in balancing the R&D effort and the business needs for the Group.
Based in Singapore since 2015 ENGIE Lab Singapore primarily addressed 3 technological areas: Smart-Grid, Future Industries and Cities & New Gases. In 2020 the Lab refocused its strategy to stay in line with group strategy and local context and strengthen its expertise in cooling, sustainable data center, vertical farming and local energy communities including REIDS-SPORE multifluid multi-thematic platform.
Within the R&D team you will be responsible for execution of various research projects/tasks. As a data scientist you will be part of a transversal team to develop robust and effective data-driven solutions leveraging the machine learning and other data analytics techniques as well as the advanced techniques, e.g. IoT, AI.
You will also take part in the business development by helping the team to find new opportunities
Posted June 10, 2026