Univers provides the world’s most comprehensive decarbonization system.
We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.
With 220 million sensors and smart devices connected, 550GW of renewable energy under management, and a community of over 500 customers, we’re helping the world’s leading businesses get the world to net zero—and what comes after it.
For more information, please visit https://univers.com/
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 Univers 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.
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:
Univers Pte Ltd - Designation:
Data Analyst Intern - Profession:
Others / General Work - Industry:
Computer and IT - Location:
Bukit Merah