Job Description

A global AIoT software leader in Net Zero, Envision Digital is committed to becoming the world\xe2\x80\x99s leading net zero technology partner for enterprises, governments, and cities to accelerate progress and improve their citizens\xe2\x80\x99 quality of life.

EnOS\xe2\x84\xa2, Envision Digital\xe2\x80\x99s proprietary AIoT operating system, connects and manages more than 110 million smart devices and 360 gigawatts of energy assets globally. Envision Digital\xe2\x80\x99s growing ecosystem of more than 360 customers and partners spans 10 industries and includes Accenture, Amazon Web Services, GovTech Singapore, IBM, Keppel Corporation, Microsoft, Nissan, PTT, Solarvest, Total and ST Engineering. The company has close to 900 employees and 12 offices across the United Kingdom, France, Germany, the Netherlands, Norway, Japan, Thailand, China, and the United States, with headquarters in Singapore.

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Data Analyst Intern

Overview:

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.

Responsibilities:

• 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 optimized asset management. Use insights derived from data to continuously improve industry practices.

• Bachelor or Master\xe2\x80\x99s 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.

Envision Digital