At a glanceSummarised by Seekless from the posting.
Must have2
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)
Eligibility1
Submit a single PDF file with Resume/CV, all education certificates to-date, and student status letter/degree audit
Skills
Python
scikit-learn
numpy
scipy
pandas
data mining
machine learning
classification
anomaly detection
recommendation systems
Duration: 2 - 4 Months
Internship Type: Undergraduate, Pre-University
About the role
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
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Conduct technology scan and proof-of-concept (if required).
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Perform data pre-processing and feature engineering, build and develop machine learning models.
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Present the system to management and users.
Possible Projects*
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Statistics and machine learning
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Data visualization
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Human language technologies
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Graph algorithms/analytics
Prerequisites/Skills Required
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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)
In your application, please submit the following documents in a single PDF file for ‘Resume/CV’:
1.
Resume/CV
2.
All Education Certificates to-date (from secondary to tertiary education)
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GCE ‘O’/‘N’ Levels, NITEC
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Prelim/GCE ‘A’ Levels, IB/Diploma
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Latest university transcript from Year 1 (for current undergraduates)
3.
Student Status Letter/Degree Audit (for current undergraduates)