Industrial Data Scientist

☞ Solvay

Vue: 140

Jour de mise à jour: 26-11-2025

Localisation: Brussels Brussels Capital

Catégorie: Ventes IT - Logiciel IT - Matériel / Réseaux Informatique

Industrie: Industrie

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le contenu du travail

General Information

Location:
  • City: Brussels
  • Country: Belgium
  • Region: Europe

  • City: Lyon
  • Country: France
  • Region: Europe

Job Category:Industrial
Job Type:Regular
Type of Contract:Permanent
Working time:Full-time
Work schedule:Day shift
Solvay is a multi-specialty chemical company committed to developing chemistry that addresses key societal challenges. We innovate and partner with customers in diverse global end markets. The Industrial function’s role is to help the Solvay Group in safety iniatitives and support the group’s transformation in operational excellence.
Solvay is a science company whose technologies bring benefits to many aspects of daily life. With more than 24,100 employees in 64 countries, Solvay bonds people, ideas and elements to reinvent progress. The Group seeks to create sustainable shared value for all, notably through its Solvay One Planet plan crafted around three pillars: protecting the climate, preserving resources and fostering a better life. The Group’s innovative solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices, health care applications, water and air purification systems. Founded in 1863, Solvay today ranks among the world’s top three companies for the vast majority of its activities and delivered net sales of €10.2 billion in 2019. Solvay is listed on Euronext Brussels (SOLB) and Paris and in the United States, where its shares (SOLVY) are traded through a Level I ADR program.

Solvay is taking a leap for digital transformation to accelerate Solvay G.R.O.W. strategy, and our sustainability roadmap, Solvay One Planet. Digital will allow Solvay to move differently from the past, transforming all aspects of the business, from channels and processes, to data and operating models, and ultimately the entire Group culture.

To make this Digital Transformation happen, Solvay has created in 2021 a dedicated Digital entity headed by a Chief Digital Officer and is reinforcing Data Science by recruiting Data Scientists across the globe to develop, maintain and improve advanced analytics models with data science techniques.

As a Data Scientist you will join a multidisciplinary team, you will drive the creation of actionable insight from our data lakes, develop new approaches/algorithms, to accelerate research & development (discover new formulations and materials), produce more efficiently (improve processes, planning and scheduling) and finally, accelerate sustainability.

You will be instrumental in delivering our digital and technology transformation. Large scale investment in Digital & Information Technology is expected over the next five years to accelerate our transformation and reduce complexity as well as running costs in line with our Purpose and G.R.O.W. strategy. Join the journey!

Job Overview and Responsibilities

As an Industrial Data Scientist, you will develop, maintain and improve advanced analytics models with data science techniques in order to improve site systems and processes. You’ll play a key role in the building of our Plants of the Future.

Bringing Industrial Focus, you will work with many partners of the organization in order to:

  • Translate business needs in advanced analytics requirements & insights by interacting with industrial and operation teams.
  • Define, design and implement industrial data science solutions to optimize performance, quality and maintenance of industrial processes within Solvay Group on top of manufacturing execution and advanced process control systems.
  • Communicate results and ideas to stakeholders and key decision makers.
  • Train process engineers in machine learning techniques applied to industrial processes.
  • Research and develop machine learning models for industrial data analytics projects.
  • Conduct proof-of-concepts and projects in a pragmatic and agile way.
  • Take part in a predictive/prescriptive analytics project, working with external consultants when required.
  • Enhance data collection procedures to improve data quality and include information that is relevant for building better analytic systems.
  • Create automated data extraction, feature engineering, machine learning, explainable AI and anomaly detection systems and constant tracking of its performance.
  • Collaborate, better understand company needs and participate in the selection, implementation & administration of the Industrial Data Science & Big Data tools of the Solvay Group, from the data lake to the data science platform.

Education and Experience

  • PhD or Master’s Degree chemical engineering, process system engineering or similar with specialization in machine learning, modeling, simulation, and optimization.
  • At least 5 years experience with advanced analytics models, preferably in the chemical industry, is required. Strong background in process control (e.g. MPC), acquired through education and/or experience, is highly desirable.

Skills

  • Excellent programming skills are mandatory in Python as well as other scripting languages (e.g. MATLAB, Julia, R, Scilab…)
  • Excellent understanding of Machine Learning algorithms as well as how and when to apply supervised, unsupervised and reinforcement learning techniques in industrial settings.
  • Industrial experience with common data science and statistical software (JMP Pro, Dataiku, MATLAB & Simulink, pandas, scikit-learn...)
  • Strong background in mathematical programming (operational research), acquired through education and/or experience and knowledge of AML languages (GAMS, AMPL, Pyomo, Casadi) to solve supply chain and logistics problems using LP/NLP/MILP/MINLP with uncertainty.
  • Experience querying historian databases (e.g. Aspentech IP21, Osisoft PI, Wonderware…) using SQL
  • Practical knowledge of robust statistics, digital signal processing and similar methods for data transformation in both continuous (steady-state) and batch or dynamic systems.
  • Data and new technologies passionate
  • Great communication and presentation skills
  • Collaborative, able to work in multidisciplinary teams, open-minded and innovative, focus on customer value

Additional Information

Other location can be discussed
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Date limite: 10-01-2026

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