Data Scientist

As a Data Scientist , you will play a key role in transforming business opportunities into data-driven solutions that optimize pricing decisions, accelerate commercial excellence, and create measurable business value. You will collaborate closely with commercial, IT, finance, marketing, R&D, and sales teams to design, develop, and deploy advanced analytics, machine learning models, and digital solutions that support strategic and operational decision-making.

You will be responsible for the full lifecycle of data science initiatives, from business understanding and solution design to implementation, monitoring, and continuous improvement. In addition, you will actively contribute to the adoption of data-driven ways of working by supporting stakeholder engagement, training, and change management activities to ensure successful implementation and sustainable business impact.
Key Responsibilities

- Your will play a key role in this strategic and innovative pricing project and will be responsible to

- Design, develop, deploy, and maintain AI/ML solutions that support pricing and commercial decision-making across multiple business domains.

- Design and maintain end-to-end MLOps pipelines covering training, deployment, monitoring, and retraining.

- Contribute to the design, implementation, and continuous improvement of pricing algorithms, decision-support models, and digital platforms.

- Support the Domain Manager in managing AI/ML products and services throughout their lifecycle, ensuring alignment with business objectives and needs, governance standards, and long-term scalability.

- Collaborate closely with business stakeholders, IT, and data scientists to translate business requirements into data-driven solutions.

- Support solution architecture, technical roadmap execution, and continuous evolution of the enterprise pricing ecosystem.

- Develop processes and tools to monitor and analyze model performance and data accuracy.

- Ensure best programming practices are applied.

Qualifications

- Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Engineering, Economics, or a related field.

- 3+ years of experience in Data Science, Machine Learning Engineering, AI Engineering, or MLOps.

- Strong technical skills in Python, SQL, API development (FastAPI preferred).

- Hands-on experience developing and deploying machine learning models in production environments.

- Strong knowledge of MLOps, CI/CD, Git, Docker, Kubernetes, Linux, Airflow, MLflow, and cloud platforms, preferably Microsoft Azure (Azure ML, AKS, ACR, App Services).

- Strong problem-solving and analytical skills, with the ability to collect, analyze, and interpret complex data sets

- Excellent communication and interpersonal skills to build relationships with internal and external stakeholders

- Fluency in English is required, knowledge of additional European languages is a plus

It’s a plus if you also have the following

- Experience in pricing, commercial analytics, revenue management, or optimization.

- Hands-on experience building and deploying Generative AI, RAG, or Agentic AI solutions in enterprise environments.

- Experience with React/NextJS or modern web application development is considered an advantage.

- Experience leading technical initiatives, mentoring colleagues, and driving adoption of data and AI solutions.

- Experience working in the steel industry in office and plant environments

Other important details

- Full-time position, based in Esch-sur-Alzette, Luxembourg

- Normal hours are 8 hours per day plus lunch, Monday to Friday

- Start and finish times are flexible to fit personal needs

- Teleworking day available up to 1 day a week

In return, you will

- Be part of the world's leading steel and mining company that thrives in becoming carbon neutral by 2050

- Receive a competitive base salary reflective of your skills and experience, several benefits and an annual incentive program to reward your performance

- Shape your career strategy thanks to technical & leadership trainings suggested by ArcelorMittal University

- Support a safety-focused and inclusive work environment

How we recruit

We are committed to building an inclusive organisation where everyone feels supported and valued. We need people with all sorts of backgrounds, experiences, perspectives and personalities to help us decarbonise the life of steel. Every person who applies to join ArcelorMittal Europe Long Products receives equal employment opportunities, regardless of ethnicity, gender, sexual orientation, age, disability, socioeconomic background, and any other protected status.

We thank all those who apply.
We will only contact selected applicants to complete a technical assessment.