Internship (4-6 months)
Singapore, Spare Parts 3D HQ
Posted 1 month ago

About Spare Parts 3D:

Headquartered in France with offices in Singapore, Spare Parts 3D provides 3D printing solutions globally to industrial leaders in various industries such as shipping, Oil & Gaz, Aerospace, or FMCG. We digitize spare parts inventory and make on-demand spare parts production possible anywhere, anytime in the shortest delay by leveraging our worldwide network of 3D printers.

We are looking for talents capable of taking on responsibilities in a fast-moving environment. If you are interested in Procurement, Engineering, Process improvement, new technologies, entrepreneurship, or simply looking for new challenges, apply now!



  • To assist the team of Data Engineer & Science Engineer to qualify data sources and develop algorithm models that will be used by our product DigiPart Identify.
  • The intern will likely be assigned to one or more projects involving external parties.

Skillset involved:

  • Understanding of methods for large data ingestion, qualification, optimization, and storage,
  • Exposure to system or mechanical engineering,
  • Exposure to BI and dashboard creation,
  • Experience in data analysis and data collection required.

Success factors:

  • would be able to draft project plans for specific use case solutions.
  • would be able to develop models in Python and data dashboards.
  • would complete the solution within a given period of time.

What We Look For:

  • Currently studying in a recognized university, preferably major in Analytics, Mathematics, Statistics, Engineering, Computer Science, or related field
  • Ability to manage a large amount of data meticulously,
  • Familiar with Python and Solid knowledge of SQL is required.
  • Excellent communication skills to convey data solutions to stakeholders.

Time Period:

  • Please state your availability clearly in your resume (Start date, duration)
  • Only full-time internship applicants will be considered (up to 6 months)


  • 1000 – 1200 sgd

Application link (only the applications process using this link will be reviewed):

Job Features

Job Category

IT (software, big-data, devOp, back-end, full-stack)

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