Envision Digital International Pte. Ltd. – Data Scientist Intern (EnOS)

Company
Envision Digital International Pte. Ltd.
envision-digital.com
Designation
Data Scientist Intern (EnOS)
Date Listed
28 Jul 2022
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
Immediate Start, For At Least 3 Months
Profession
IT / Information Technology
Industry
Computer and IT
Location Name
1 Harbourfront Avenue, Keppel Bay Tower, Singapore 098632
Work from Home
Address
1 Harbourfront Ave, Singapore 098632
Map
Allowance / Remuneration
$1,800 monthly
Company Profile

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.

Job Description

Job Overview

We are looking for a Data Scientist intern who will work with the team to develop algorithms package to deliver data-analytical services and products for our clients on top of EnOS platform. The ideal candidate is adept at using a variety of ML/AI models, from traditional statistical learning models to deep-learning models, to address various data-driven requirements. They better have some experiences in data exploration, building/implementing models and delivering modeling results to stakeholders. They need to demonstrate their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The ideal candidate would have passion for investigating solutions and working with stakeholders to improve algorithms results.

Major Responsibilities

  • Work with team and stakeholders to implement data-analytical packages for clients in multiple domains;
  • Perform data exploration in depth and design/implement novel algorithms to address data analytical challenges;
  • Work closely with other platform teams to deliver integrated products or solutions

Qualifications

  • Excellent understanding of general machine learning techniques and popular models (linear regression, SVM, XGBoost/LightGBM, etc.), and basic deep-learning models.
  • Experience with development tools like Python, NumPy/Pandas, Scikit-learn and one deep-learning framework (Tensorflow / Keras / PyTorch)
  • Experience with data exploration tool and data visualization tool, such as matplotlib, Echarts, etc.
  • Better with experience with SQL/NoSQL databases
  • Excellent written and verbal communication skills for coordinating across teams.
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