Junior Data Scientist

Be part of something bigger!

As the world and the way people live is changing, we at Bekaert believe it’s our responsibility to contribute to finding new solutions for the future. With a 140+ year old heritage of excellence, innovation, and a future-focused mindset, we strive to create value for our customers and society. We aim to do this through innovative solutions and sustainable practices. We are committed to pushing the boundaries of steel wire transformation and coatings whilst also leveraging our expertise to develop innovative solutions with new materials and services in a safe, smart, and sustainable way. Our focus extends to markets such as new mobility, low-carbon construction, and green energy.

As a dynamic and growing company with over 19 000 employees worldwide, 75 nationalities, a retention rate above 90% and € 3,7 billion in combined revenue in 2025, we are looking for someone like you to join our team as we continue to shape a safer, more efficient, and connected world!

I. Purpose of the Role

Bekaert is leading transformation program to enhance end-to-end user experience and deliver user journeys that drive impact across multiple cross functional processes. Bekaert’s employees, suppliers and customers across the value chain are getting increasingly sophisticated and expect a seamless and well-designed user experience. Bekaert organization is reviewing the success and performance of these end-to-end user journey through data analytics, reporting and governance across the journey.

To strengthen our data science and analytics capabilities, you will join us in the role of “Junior Data Scientist” in Data and Analytics Platform team. You are accountable to model complex business problems and discover business insights through the use of statistical, algorithmic, mining, and visualization techniques. You will collaborate with cross-functional stakeholders to understand the business usage of data, architect specialized database and computing environments and communicate recommendations to enable decision-making.

II. Roles and Responsibilities

The data scientist is a role in the Data and Analytics Platform team and reports to Head of Artificial Intelligence. You will play a pivotal role in planning, executing, and delivering machine learning-based projects. Most of the work will be in machine learning (ML) modelling, generative & agentic AI, management and problem analysis, data exploration and preparation, data collection and integration, operationalization. Data Scientist will be a key interface between Digital Organization, IT Organization, Business Units, Analytics team, and various other IT departments such as security, governance.

Main Responsibilities Of Junior Data Scientist Are

• Problem Analysis and Project Management
  
  

○ Collaborate across business teams to understand IT and business constraints

○ Define and communicate governance principles

• Data Collection and Integration
  
  

○ Understand new data sources and process pipelines and catalog/document them

○ Acquire access to various databases and other sources systems such as SQL or graph databases

• Data Exploration and Preparation
  
  

○ Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, principal components analysis (PCA)Machine Learning

○ Generate hypotheses about the underlying mechanics of the business process

○ Test hypotheses using various quantitative methods

○ Display drive and curiosity to understand the business process to its core

• Machine Learning
  
  

○ Apply ML and advanced analytics techniques to perform classification or prediction tasks

○ Validation & optimization of models

• Generative & Agentic AI
  
  

○ Use generative AI to extract insights out of unstructured datasets

○ Use agentic concepts to improve quality of the results

• Operationalization
  
  

○ Collaborate with ML Ops Engineer to evaluate and implement ML deployment options

III. Skills & Competencies

Education, Skills & Experience

• Master degree or phd in computer science, data science, operations research, statistics, applied mathematics is required.
• You will ideally have a specialization in ML, AI, cognitive science or data science.
• At least 3 years of progressive relevant experience in data science; successfully launching, planning, and executing significant data science projects. Experience building and deploying predictive models, web scrapping, and scalable data pipelines
• Experience with statistical software, scripting languages, and packages. Python/Jupyter is required. Others (e.g. MATLAB) are appreciated.
• Experience with the data science platforms - Azure Machine Learning. Others (e.g. Google Cloud ML) are appreciated.
• Knowledge and experience in statistical and data mining techniques - generalized linear model /regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, neural network, graph analysis, etc.
• Experience on Open-source data science libraries (e.g. sklearn, Tensorflow,...), open-source visualisation libraries (e.g.Plotly Dash/Bokeh, Streamlit, ..)
• Experience with popular database programming languages including SQL
• Experience of Data Visualisation Products such as Power BI is a plus.
• Experience with large language models and prompt engineering
• Good understanding of agile principles and development methodologies and capability of supporting agile teams by providing advice and guidance on opportunities, impact and risks
• Good analytical, planning and organizational skills. Be a voice of reason to make tough calls.
  
  

Competencies

• Organizationally savvy, with the ability to navigate organizational politics.
• Ability to articulate new ideas and concepts to technical and non-technical audiences
• Ability to understand the long-term ("big picture") and short-term perspectives of situations
• Ability to translate future-state business capabilities and requirements into solution requirements
• Ability to propose and estimate the financial impact of solution alternatives
• Ability to assess product quality and other non-functional attributes and provide recommendations
  
  

Be bold and take the leap!

Our Digital Advanced Solutions (ADS) team is a dynamic group of technologists from around the globe who consistently push boundaries in digital innovation, cyber resilience, data science, intelligent automation, cloud solutions, and new agile methodologies.

It is also good to know tht at Bekaert, we celebrate diversity and are committed to creating an inclusive work environment. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Want to learn more about our digital opportunities? Visit Bekaert Careers

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