INTERNSHIP DETAILS

Software Engineer, Data Science (Intern)

CompanyScreening Eagle Technologies SA
LocationSingapore
Work ModeOn Site
PostedApril 22, 2026
Internship Information
Core Responsibilities
The intern will develop and apply machine learning and computer vision techniques to extract insights from inspection data. They will also contribute to improving existing software tools and supporting project lifecycles from brainstorming to production.
Internship Type
intern
Company Size
Not specified
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company

No description available for this Company.

About the Role

Intro

Based in Singapore, the Data Science Intern will develop and apply machine learning and computer vision techniques to extract actionable insights from data collected by inspection and NDT tools, helping to advance the company's software products and solutions.


What will you do

  • Develop tools to process the high volume of information collected by cameras and NDT tools (e.g Ground Penetrating Radar)
  • Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
  • Improve existing software tools using data science
  • Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
  • Leverage data science techniques to improve customer insights in the InspectionTech space.
  • Support project lifecycles from brainstorming to production
  • Contribute to developing cutting-edge software and solutions that add value to the company and its customers.


What do we expect

  • Pursuing a bachelor’s degree in Computer Science or related fields.
  • Knowledge in Machine Learning libraries such as PyTorch.
  • Knowledge in Computer Vision libraries such as OpenCV.
  • Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).


Our offer

Key Skills
Machine LearningComputer VisionPythonPyTorchTensorFlowOpenCVData ScienceNeural NetworksSoftware DevelopmentData Analysis
Categories
SoftwareData & AnalyticsEngineeringTechnologyScience & Research