Employer Navigation

MSL Intern Data Scientist - Auto Failure Analysis & Data Analytics profile banner profile banner

MSL Intern Data Scientist - Auto Failure Analysis & Data Analytics

The Programme

Material Science Laboratory provides service support analytical technique and scientific analysis for material, process, products on cleanliness, contamination, and failure analysis under Operation Quality and Analytic (OQ&A).

What You Will Do

  • Create human decision algorithm based on the expert engineer step-by-step decision making during the conclusion of HDD (Hard Disk Drive) failures.
  • Use machine learning methods and AI (Artificial Intelligent) to complement the human decision algorithm.
  • Lead a group of analysts who work on automated FA (Failure Analysis) and tools development projects.
  • Work with IT to set up the server system to achieve a desired processing power & speed.
  • Create and implement workflow for the automated FA systems.
  • Communicate status of projects and progress to supervisor.
  • Summarize accomplishment, issue and relevant assignment as supervisor required. 

Required Skills and Abilities

  • Excellent teamwork, leadership and coachability.
  • Fast learning, able to prioritize multiple tasks and work effectively in a dynamic environment.
  • Computer programming languages, Python, Java, and C++.
  • Familiar with Linux, computer network, cloud, database, and virtual machine.
  • Experience in data preparation process, machine leaning and AI projects.
  • Degree/master's in data science, statistic, computer, or electrical related field.
  • Capable of communicating in a complex technical knowledge with cross-functional team.
  • Effective communication and presentation skills.
  • Ability to effectively plan, control and take responsibility for group's results.
  • Able to prioritize multiple tasks, manage conflicting deadlines, and work effectively in a dynamic environment.
  • Fluent in both spoken and written English communication.

Your experience includes:

  • Good knowledge of IOT and industrial 4.0.
  • Having a good understanding of KNIME, Image Processing, MATLAB, Vision system, Data networking and coding. 
Closed 10 months ago
Closed 10 months ago
  • Job type:Internships
  • Disciplines:

    Computer Science, Data Science and Analytics,

  • Citizenships:

  • Locations:


  • Closing Date:6th Oct 2021, 6:00 pm


Enter an employer or university you want to find in our search bar.