Envision Digital International Pte Ltd – Data Scientist Intern (Weather)

Company
Envision Digital International Pte Ltd
envision-digital.com
Designation
Data Scientist Intern (Weather)
Date Listed
03 Jan 2022
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 5 Months
Profession
IT / Information Technology
Industry
Computer and IT
Location Name
1 Harbourfront Avenue, Singapore
Work from Home
Address
1 Harbourfront Ave, Singapore
Map
Allowance / Remuneration
$1,800 monthly
Company Profile

Envision Energy is a global leading smart energy management company. It owns the world's largest Energy IoT platform, EnOS™. Envision has regional offices across Asia, Europe, North and Latin America and has established global R&D and engineering centres in Denmark, Germany, Singapore and the United States. The Envision’s Global Digital Hub has been set up in Singapore in early 2018, partnering with Ascendas-Singbridge Group, Sunseap Group, the Solar Energy Research Institute of Singapore, and the Nanyang Technological University. The AI/IoT capacity developing in this Digital hub will be a key base for Envision’s business.

Due to Envision’s expanding business, we are seeking data scientists to help us develop weather forecast algorithms and further improve the forecast accuracy of wind, solar radiation, rainfall, lightning temperature and other attributes.

Job Description

Responsibilities:

  • Maintain and optimize existing weather forecast algorithms for various weather attributes, e.g. wind, rainfall, lightning, etc.
  • Optimize, develop and adapt advanced computer vision and state-of-the-art deep learning techniques for weather parameter nowcasting, e.g. rainfall, wind, lightning, temperature etc.
  • Provide technical support for business development team to successfully execute R&D projects and continue to grow our business.

Qualifications:

  • Have passion about data and data science
  • Degree in computer science, applied mathematics, electrical engineering or related technical discipline.
  • Experience of designing and building advanced machine learning models to solve business problems, including but not limited to, typical regression tasks, image classification, object detection, etc.
  • Strong scientific programming skills in Python.
  • Practical experience with deep learning framework, including PyTorch, Tensorflow.
  • Proficiency in coding in Linux environment and is able to write bash script.
  • Experience collaborating within research teams to develop advanced research concepts, prototypes, and systems.
  • Good communication, presentation skills and ability to collaborate and learn from others.
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