Envision Digital is focused on bringing technology solutions to the sustainability challenge . Its world-class AIoT technology helps governments and companies across the world accelerate progress toward a net zero future and improve their citizens’ quality of life. Having established itself as a leading solutions provider for intelligent renewable energy generation, consumption efficiency and smart flexible storage, it has extended its capabilities beyond energy to enable and optimise applications notably in smart cities, smart buildings and estates, smart infrastructures, e-mobility and smart plants.
EnOS™, Envision Digital’s proprietary AIoT operating system, connects and manages more than 100 million smart devices and 200 gigawatts of energy assets globally, while its growing ecosystem of more than 350 customers and partners spans 10 industries and includes Accenture, Amazon Web Services, GovTech Singapore, Keppel Corporation, Microsoft, Nissan, PTT, Sonnen, Solarvest and Total. The company has around 700 employees and 12 offices across China, France, Japan, Germany, Norway, the Netherlands, the United Kingdom, and the United States, with headquarters in Singapore.
We are seeking a candidate with strong background in data analytics and machine learning, to join a fast growing team in digitalization of renewable energy and energy AIoT at Envision Digital Singapore HQ office. You will work closely with a global team of talented solar veterans and cross-functional teams, and develop advanced algorithms from large volumes of IoT (solar) data to transform solar asset management paradigms by deeply incorporating digitalization and data analytics.
- Help establish data framework and pipelines for advanced PV system analytics using best practices from data science, curate and manage database, as well as perform relevant data engineering tasks;
- Develop machine learning based methods for underperformance or fault detection and classification for PV systems, with the help of deep domain knowledge from PV specialists;
- Perform routine field data inspection for algorithm evaluation and edge cases identification, perform exploratory analysis to help derive insights and form hypothesis, support algorithm development for solar monitoring software.
- Support solar product development for realizing smart solar plants and distributed systems. Use insights derived from data to continuously improve industry practices.
Desired Skills and Experience:
- Bachelor or Master’s degree in mathematics, statistics, or computer sciences preferred;
- Strong data analytics skills, good command of programming language such as python, practical familiarity of various machine learning techniques such as random forest and recurrent neural networks.
- Knowledge in industrial monitoring and control, operation and maintenance, and IoT applications are highly desirable;
- Ability to work in a cross-functional team environment and in matrix organizations,
- Strong communications skills and demonstrated experience in communicating and operating within a multinational corporation and engaging with audiences at different levels. Ability to bridge language and cultural barriers.
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- Company:
Envision Digital International Pte. Ltd. - Designation:
Data Analyst Intern - Profession:
IT / Information Technology - Industry:
Computer and IT - Location:
Bukit Merah