Data Scientist Intern
On-site Singapore, Singapore Internship Junior Data Science
At a glance
Junior Data Science role at Centre for Strategic Infocomm Technologies. Singapore, Singapore · internship.
Pay not stated Data Science salary
RoleData Science
SeniorityJunior
LocationSingapore, Singapore
WorkplaceOn-site
EmploymentInternship
PostedJan 28, 2022
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Examine the project goals, check relevant technologies and build a proof of concept when needed
- Prepare datasets, create useful features and develop machine learning models for the project
- Work with a mentor to deliver a system that satisfies the project requirements
- Show the finished system to management and its users
What you bring
- You have prior grounding in data mining or machine learning, such as classification or anomaly detection
- You can program in Python and use its machine learning libraries, including scikit-learn, NumPy or pandas
Who this fits
This internship is for undergraduate or pre-university students and runs for two to four months. The work is on-site in Singapore. Prepare a single PDF application with your CV and the requested education records.
From the employer
Duration: 2 - 4 Months
Internship Type: Undergraduate, Pre-University
As a Data Scientist, you will have to understand the project objective and requirements, conduct technology scan and proof-of-concept (if required). You will work closely with a mentor to deliver a system meeting the project requirements.
Broad Deliverables
- Conduct technology scan and proof-of-concept (if required).
- Perform data pre-processing and feature engineering, build and develop machine learning models.
- Present the system to management and users.
Possible Projects*
- Statistics and machine learning
- Data visualization
- Human language technologies
- Graph algorithms/analytics
Prerequisites/Skills Required
- Prior knowledge in data mining or machine learning techniques (e.g. classification, anomaly detection and recommendation systems)
- Proficient in programming language such as Python (i.e. familiar with Python-based machine learning libraries such as scikit-learn, numpy/scipy and pandas)
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