Junior Data Scientist
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About ArcelorMittal ArcelorMittal is the world's leading steel and mining company, with a presence in more than 60 countries and an industrial footprint in over 20 countries.

Guided by a philosophy to produce safe, sustainable steel, we are the leading supplier of quality steel in the major global steel markets including automotive, construction, household appliances and packaging, with world-

class research and development and outstanding distribution networks. Through our core values of sustainability, quality and leadership, we operate responsibly with respect to the health, safety and wellbeing of our employees, contractors and the communities in which we operate.

For us, steel is the fabric of life, as it is at the heart of the modern world from railways to cars and washing machines.

We are actively researching and producing steel-based technologies and solutions that make many of the products and components we use in our everyday lives more energy-

efficient. We are one of the world’s five largest producers of iron ore and metallurgical coal and our mining business is an essential part of our growth strategy.

With a geographically diversified portfolio of iron ore and coal assets, we are strategically positioned to serve our network of steel plants and the external global market.

While our steel operations are important customers, our supply to the external market is increasing as we grow. In 2015, ArcelorMittal had revenues of US$63.

6 billion and crude steel production of 92.5 million tonnes, while own iron ore production reached 62.8 million tonnes. ArcelorMittal is listed on the stock exchanges of New York (MT), Amsterdam (MT), Paris (MT), Luxembourg (MT) and on the Spanish stock exchanges of Barcelona, Bilbao, Madrid and Valencia (MTS).

For more information about ArcelorMittal please visit :

Job Details & Key Attributes

Within the sales & marketing organization of ArcelorMittal Europe Long Products, take a key role in the pricing team and the digitalization transformation.

Pricing is at the heart of the value creation and it requires data based sound and actionable analytics. It is also about change management of the organization towards big data technologies.

Long products Europe has initiated a strategic project to transform the pricing process from the price guidelines to offers to order entry.

In this project, data mining, modelling and analysis are important attributes make the project a success. Long products will be supported by an external partner who will provide the initial resources, models and analysis.

You will play a key role in this strategic and innovative pricing project. You will

  • support data engineering
  • maintain pricing models
  • constantly improve model accuracy and measure performance
  • develop the next iterations of the pricing models with the sales and marketing teams
  • improve the tools for optimal operations
  • guarantee robustness of the solution and iterations with sound testing process
  • support the business areas and create dashboards and visualizations of processed data to help identify opportunities to create value
  • guide team members on projects and support them to learn new technologies
  • network with the ArcelorMittal data science community
  • You will also contribute to

  • expand the solution to new areas of the business both in terms of markets and products
  • adapt the solution by integrating new factors, new sets of data or new business context
  • In your role, you will support the performance of the business divisions.

    You will also interact with IT, R&D and mills.

    Minimum Applicant Attribute

    Education / Qualification :

    Subject :

    Mathematics, Economics, Computer Science, Data Engineering


    Proficiency Level English Advanced

    Other Minimum Requirements :

    Master (Mathematics, Economics, Computer Science, Data Engineering )

    Advanced English

    Enthusiastic and excellent team player with good communication skills

    Business oriented and keen in discovering the business

    Technical expertise regarding data models, data mining

    Good programming skills, ideally in Python, R, Java

    Proficient with distributed processing technologies (Spark / Hadoop ecosystem), Big Data querying tools, such as Hive, Impala, Spark-SQL

    Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

    Adept at queries, report writing and presenting findings.

    Please kindly send your CV in English.

    Desired Applicant Attribute Education / Qualification : Subject : Language Proficiency Level Other Desired Requirements :

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