Pepite

INDUSTRIAL DATA SCIENTIST

Job information

Industry

Information Technology - Software

Job Type

Full Time

Experience

3-5 years min.

Location

Belgium

Degree Type

Bachelor, Master

Degree Specialization

Civil engineer, Data Science/Modelling engineer, Information Technology

Description

PEPITe is a high-tech venture based in Liège, Belgium, and global leader in artificial intelligence solutions for process and manufacturing industries. In order to sustain our growth, we are looking for skilled profiles to join our dynamic team of passionate consultants and engineers.

We are searching for an Industrial Data Scientist who will participate in advanced analytics projects and lead analytics R&D efforts in various industrial sectors, with the support of PEPITe’s experienced leadership. The main responsibilities include:

● Support the project engineering team in Data collection and preparation + Process data analysis
● Become acquainted with PEPITe’s clients manufacturing process and business
● Develop machine learning models for manufacturing processes
● Research, develop and test new machine learning algorithms and data analysis tools applicable to industrial use cases
● Ensure that iterative interactions are on-going with project team (PEPITe engineers/developers and client engineers)
● Develop decision support and Artificial Intelligence tools
● Provide feedback to PEPITe’s development team to help guide the development of our analytics software, DATAmaestro
● Training and coaching of clients

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Alumni Ingénieurs Louvain logo

AILouvain is the alumni association of the Louvain School of Engineering (Ecole Polytechnique de Louvain). Our mission consists of  facilitating connections through inspiring events, information sharing, innovation and education support, and fierce engagement to tomorrow’s key societal challenges. We also publish job vacancies that for our alumni members eager to take new career challenges, and help enterprises find highly talented tech profiles.

Education

9000

Key Values

  • Support Innovation & Education
  • Capitalize on the diversity of the Alumni network
  • Create and sustain both individual and collective responsibility
  • accompany our Alumni in their professional journey