Energy 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

The ArcelorMittal energy consumption amounts to 90 TWh of natural gas and 64 TWh of Electricity worldwide, and very significant volumes of air gases (02, N2, Ar) and to a lower extent Hydrogen.

The Group Energy team is responsible for ensuring competitive supply of Energy (6 to 7 b$ per year), from markets, contracts or assets.

ArcelorMittal Energy SCA has been incorporated in 2011 as an energy supplier to buy electricity and natural gas on the European markets and deliver them to the mills.

This scheme enables the optimization of ArcelorMittal energy portfolio in Europe. The team is operational since January 2012 and is rapidly expanding its coverage, being active today in nearly 10 countries.

Within the Middle Office of ArcelorMittal Energy SCA, the Energy Data Scientist will have a key role to directly work with the Energy Analysts and together support the Front Office Buyers.

Department :

Middle Office - Energy Market Analysis

Position purpose :

This position is responsible for developing algorithms, modeling techniques, and optimization methods that support many aspects of the ArcelorMittal Energy SCA business.

Employees in this role use knowledge of machine learning, timeseries analysis, statistics, and applied mathematics along with knowledge of the global energy sector.

Main responsibilities :

  • Development and deployment of machine learning, optimization and other modeling solutions to solve problems related to energy trading across Europe.
  • Determine methodologies needed and apply such methodologies (e.g. Random Forest, Neural Networks, Deep Learning, Timeseries modeling, ) on classification, forecasting and optimization.
  • Manipulate and analyze data sets. Evaluate data quality, perform and back-test statistical analyses using software such as R.
  • Building and maintaining fundamental & financial models for power, natural gas & other commodities such as crude oil or coal upon request.
  • Development of market views, preparation of comprehensive documented observations, analyses and interpretations of results including fundamental / economical & financial / political reports, summaries, protocols and quantitative analyses.
  • Minimum Applicant Attribute

    Education / Qualification :

    Subject :

    financial engineering / engineering / mathematics or equivalent experience


    Proficiency Level English Advanced

    Other Minimum Requirements :

    Technical & Academic requirements :

  • Graduate qualification (Master’s degree) in analytically, statistics, quant based discipline (e.g. financial engineering / engineering / mathematics or equivalent experience)
  • Academic background and foundation in theories underlying machine learning and artificial intelligence techniques (i.e.
  • dynamic programming, mathematical optimization)

  • Experience of working in the energy sector is a plus (prior exposure to a trading environment is beneficial)
  • Strong knowledge of R and / or Python a must (experience in VBA Excel & SQL or other programming languages is a plus)
  • Strong analytical / statistical skills
  • Team-player with the ability to work independently
  • Must be able to communicate efficiently technical analyses and results (both in written and verbal form)
  • Fluent English is a must. Other languages will be considered a plus.
  • Person specification

  • Ability to think systemically
  • Passion for solving complex problems
  • Interest in energy markets, innovative technologies & geopolitics
  • Proactive & demonstrate initiative
  • Ability of working in a fast-paced environment
  • Good organizational skills
  • Desired Applicant Attribute Education / Qualification : Subject : Language Proficiency Level Other Desired Requirements :

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