Data Science Intern
Luxembourg
ArcelorMittal
Introduction
Within ArcelorMittal Europe - Flat Products CIO, the department “Digital & IT CMO” (D&IT CMO) is an IT organization with proximity with Flat commercial business, which is responsible for the implementation of Business Processes and the interface management between operational Business stakeholders and IT providers.
D&IT CMO main stakeholders are the Business owners of the different CMO processes, the end users (Sales Agencies & Order Management Platforms), Supply Chain, Industrial Clusters, and mills within the Flat Europe scope.
The main Missions of our Department are:
- Steer / Support Legacy Information Systems (Performance, user support, Budget).
- Drive the Evolution of Legacy Information Systems (Adapt to New business needs, deploy, optimize): Concentrate Business processes & systems Expertise.
- Support Innovation & transformation.
What does the job entail?
We are seeking a highly motivated intern to join the Data Science CMO team that is part of the D&IT CMO organization. The Data Science CMO team plays a critical role in developing and maintaining the Dynamic Pricing Model for the Prime business while providing data-driven decision support to the Nonprime business through Data Mining. This diverse team of data scientists and analysts collaborates closely with business stakeholders to drive impactful solutions.
With the increasing demand for data science expertise, the team is looking for an intern to contribute to the enhancement of the context-aware Dynamic Pricing Model.
Internship Objectives
The primary goal of this internship is to analyze and implement incremental improvements to the existing Dynamic Pricing Model, making it more context aware. The intern will begin with a feasibility study of high-priority business ideas, followed by implementation and validation. Additionally, the role includes developing Tableau dashboards to effectively communicate findings and insights to business stakeholders.
Throughout the assignment, the intern will work under the guidance of a data scientist and collaborate with IT teams as needed.
Key Responsibilities
- Collect and analyze data to gain insights into business challenges
- Develop and prototype data science models to address business problems
- Build interactive Tableau dashboards for validation and monitoring
Required Skills & Qualifications
- Proficiency in English
- Background in statistics, reasoning, and analytical thinking
- Python Programming
- Familiarity with machine learning platforms, frameworks, and libraries
Preferred Skills
- Knowledge of database systems (e.g., MS SQL, MySQL, Oracle)
- First experience in developing tableau dashboards
- Understanding and first experience with Large Language Models (LLMs)
- Creative problem-solving skills in proposing business solutions
Why Joining us?
- Work in a small, dynamic team with direct exposure to key decision-makers
- Gain hands-on experience with the latest tools and technologies
- Enjoy a balanced work environment that promotes both autonomy and collaboration
This internship presents a unique opportunity to apply data science expertise in a real-world business setting while working closely with industry leaders. If you are passionate about data-driven decision-making and dynamic pricing models, we encourage you to apply.
ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 16 countries. In 2022, ArcelorMittal had revenues of $79.8 billion and crude steel production of 59.0 million metric tonnes, while iron ore production reached 45.3 million metric tonnes. Our purpose is to produce ever smarter steels that have a positive benefit for people and planet. Steels made using innovative processes which use less energy, emit significantly less carbon and reduce costs. Steels that are cleaner, stronger and reusable. Steels for electric vehicles and renewable energy infrastructure that will support societies as they transform through this century. With steel at our core, our inventive people and an entrepreneurial culture at heart, we will support the world in making that change. This is what we believe it takes to be the steel company of the future. 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: http://corporate.arcelormittal.comTags: Data Mining Industrial LLMs Machine Learning MS SQL MySQL Oracle Python SQL Statistics Tableau
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