CapitaLand Business Services Pte Ltd – Intern, Data & Insights (Data Scientist)

Company
CapitaLand Business Services Pte Ltd
capitaland.com
Designation
Intern, Data & Insights (Data Scientist)
Date Listed
03 Jun 2021
Job Type
Entry Level / Junior Executive
Intern/TS
Job Period
From Jun 2021 - Dec 2021
Profession
IT / Information Technology
Industry
Real Estate
Location Name
Lorong 5 Toa Payoh, StorHub Self Storage - Toa Payoh, Singapore
Address
743 Lrg. 5 Toa Payoh, Singapore 319457
Map
Allowance / Remuneration
$850 - 1,200 monthly
Company Profile

CapitaLand Limited (CapitaLand) is one of Asia’s largest diversified real estate groups. Headquartered and listed in Singapore, it owns and manages a global portfolio worth about S$133.3 billion as at 30 September 2020. CapitaLand’s portfolio spans across diversified real estate classes which includes commercial, retail; business park, industrial and logistics; integrated development, urban development; as well as lodging and residential. With a presence across more than 220 cities in over 30 countries, the Group focuses on Singapore and China as its core markets, while it continues to expand in markets such as India, Vietnam, Australia, Europe, and the USA.

At CapitaLand, we advocate fair employment practices, and recruit talents based on merit and fit with our Corporate values. We provide equal opportunity for all qualified persons and build an inclusive workplace regardless of race, gender, age, religious belief, or nationality.

Job Description

You will be working closely with the Data & Insights team to aid their day-to-day tasks, as well as establish new processes that need to be established based on user requirements. 

Responsibilities

  • Assist the Data & Insights team to front initiatives and/or projects in collaboration with representatives from various business units 
  • Perform data pre-processing, feature engineering, and exploratory data analysis 
  • Develop machine learning and deep learning models 

Requirements 

  • Preferred studies in Mathematics/Statistics/Computing/Analytics or related fields 
  • Strong programming experience in SQL, R, Python, etc 
  • Good understanding of machine learning (eg. Logistic Regressions, SVM, Decision Tree, Random Forest, lightGBM, XGBoost etc), deep learning algorithms (eg. CNN, RNN), and open-source libraries such as TensorFlow, Keras, Pytorch, Scikit-Learn, etc. 
  • Experience with big data technologies such as Spark will be advantageous 
  • Familiar with data visualisation tools (e.g. Power BI, Tableau, etc.) 
  • Good collaboration and communication skills to work effectively across teams, and partner with business stakeholders
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