Data Scientist - R&D Automotive at AGC's Technovation Centre

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AGC Technovation Center Europe

Charleroi, Belgium

Application Deadline

AGC Glass Europe offers challenging, and highly rewarding career opportunities. Join a leading international glass company, share a global stage of incredible opportunity with more than 50.000 employees world-wide. Work and grow alongside some of the brightest people in your field.

Our passion is glass. Glass creates emotion by connecting people with their environment. Could it connect us with you ?

The Company : AGC Glass Europe

  • European branch of the AGC group, based in Belgium.
  • Produces, processes and distributes flat glass for the construction industry, the automotive industry and various high-tech applications.
  • 14.000 employees.
  • 18 float glass lines, 10 automotive glass processing centers and more than 100 distribution-processing units in Europe.

AGC's Technovation Centre (Gosselies, Belgium)

  • Centralises research, engineering and IP activities in Gosselies.
  • 300 employees (200 researchers).
  • Three missions : technological innovation, technical assistance and scientific advice for which the R&D centre is developing high-tech glass products.

AGC'S technovation Centre is looking for a DATA SCIENTIST for its Automotive R&D departments

You will join one of our departments specialised in the field of automotive R&D working on the advent of the autonomous car and the revolution of tomorrow's mobility
As a Data Scientist, you will play a key role in the end-to-end delivery of AI/Big data projects, from the requirements' analysis to the automation of the models. You will be expected to interact with both Industrial IT and Business data owners and specialists - internal and external - as well as business representatives/executives (manufacturing process, plant management, supply chain, cost controlling).

The Data Scientist will :

  • Work closely with Business stakeholders (Process, Maintenance, Supply Chain and Commercial teams) to identify and prioritize business
  • Identify useful (internal/external) data sources;
  • Perform analysis on collected data to select the right features;
  • Build/validate/tune/deploy ML models;
  • Communicate effectively the results and discuss the subsequent potential action plan;
  • Exchange best practices with Data Scientists from other plants and Headquarter

Requirements :

  • We are looking for a strong candidate with the following skills and qualifications:
  • Master or PHD in Information technology, Mathematics, Statistics, Physics or related field
  • Experience in AI/ML/Big Data project(s).
  • Insights of ML/AI algorithms (XGBOOST, Random-Forest, SVM, Neural Networks, etc.)
  • Effective experience in Signal Processing (Sensor data, Predictive Maintenance, etc.)
  • Strong analytical skills with the ability to collect, organise, analyse and interpret large amounts of data to underline the relevant information regarding a specific business objecti Fluent in Python.
  • Experience in Deep Learning (Keras, Tensorflow, Pytorch, ...) is a plus.
  • Experience in Big Data (Spark, Hadoop, Map-reduce, and Hive) is a plus.

You have much more to offer than your technical skills. You are an allrounder and recognize yourself in the following

  • Desire to be a team player inside a growing structure
  • Problem-solving mindset - Hands-on attitude
  • Learning agility
  • Efficient communicator in multicultural environments: presentations, reports, discussions, negotiations.
  • Multi tasker, able to meet deadlines and manage different projects.
  • Able to elaborate, test, and propose new concepts autonomously
  • Fluent in English (essential). Knowledge of French is a plus.

What we offer?

  • A dynamic and multicultural team, open minded, open to diversity, with strong entrepreneurial culture.
  • A caring work environment, open to personal initiative and innovations.
  • A motivating career path in a multinational.
  • A competitive salary package including Group Bonus Scheme, Annual Holiday of 40 days, Enrolment in a company pension scheme and a Complementary Health Insurance Scheme.


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