Assignment type: Graduation/internship
Start date: As soon as possible
Assignment Duration: 6-9 months
Location: Veghel
Educational Level: WO
Desired Study: Data Science
Language: English
Assignment
Can raw data be converted in valuable insights about the asset health, to drive and optimize maintenance?
Vanderlande systems produce a lot of data, which can be a goldmine for data scientists to transform into insights. Focus of this internship is ADAPTO, a complex asset with many sub-components that need to perfectly work together.
ADAPTO produces a lot of log data, a very small part of it is being used already by the Predictive Maintenance team to create valuable insights on the asset health. However, a lot of more data is available and can be analyzed to produce even more insights and provide a broader perspective on the health of the asset.
Goal of this assignment is to take one or two additional data sources (depending on duration, complexity and speed), interact with SMEs to understand their meaning and potential, create and fine-tune appropriate ML models, validate the outcomes with SMEs and possibly end-users, and deliver the developed solution to the Predictive Maintenance team to productize and integrate it as part of the existing product.
Department
As intern you will work in the Digital Service Platform department, responsible for driving Vanderlande digital transformation through the creation of Digital Services. You will be working in the Predictive Maintenance team, a multidisciplinary, multicultural and distributed team focused on converting data into insights to drive and optimize Maintenance. The team has Data science, data engineer, software development and frontend development capabilities.
As intern you will have ample support and access to the existing knowledge within the team. If the internship is successful, their work will be used by the team to improve and enlarge the existing product.
Responsibilities
As intern you will be trained on the ADAPTO functioning, and will be provided a few data sets to be choosing from. As intern you will be expected to:
- Interact with SMEs to fine-tune their ADAPTO understanding and define potential of the chosen data set(s).
- Develop a model that based on the acquired data can provide insights on the ADAPTO shuttle health.
- Validate the model outcome (and possibly improve the model) with SMEs and end-users.
A successful internship will deliver a model that can be productized and integrated with the existing Predictive Maintenance solution.
Skills
- Data science and ML knowledge
- Python knowledge
- (Preferred) Familiarity with Azure and Databricks
Contact
Do you recognize yourself in this challenging profile? And are you looking for an internship/graduation assignment in an organization that has been elected as “Best Employer” for years in a row? Please fill out the application form and upload your resume and cover letter. For more information, contact us by e-mail: internship@vanderlande.com or Stef Alferink (Campus Recruiter) by phone: +31 413 755 087.