Offers “ENGIE”

Expires soon ENGIE

Operational Research Analyst (V.I.E)

  • Internship
  • Bruxelles - Brussel (Brussel-Hoofdstad - Bruxelles-Capitale)
  • Energy / Materials / Mechanics

Job description



OPERATIONAL RESEARCH ANALYST (V.I.E)

Sustainability Solutions : EMEAI

ENGIE Impact delivers sustainability solutions and services to corporations, cities and governments across the globe. Comprised of existing and proven ENGIE Group businesses, ENGIE Impact brings together a wide range of strategic and technical capabilities, to provide a comprehensive offer to support clients in tackling their complex sustainability challenges from strategy to execution. Why join us ?

With 18 offices worldwide and headquarters in New York City, ENGIE Impact today has a portfolio of 1,000 clients, including 25% of the Fortune 500 Companies, across more than 1,000,000 sites. Uniting ENGIE Insight, Ecova UK, Red Engineering and the Advisory and Advanced Analytics division of Tractebel under a common umbrella, ENGIE Impact was created to engage with executives and organizational leaders to set tailored strategies and specific roadmaps to achieve their sustainability and zero-carbon objectives, across energy, water, waste and more, globally.

Ready to act Right Now, for Tomorrow?

Job Description

The Operational Research Analyst (V.I.E) will have to work on the different steps of Operational Research projects : understanding the client needs, write models in GAMS-Python, construct heuristics to solve large problems in limited time, construct test data, industrialize methodologies, support and maintenance of the tools.

Depending of the needs of the department, you may have the possibility to work on topics linked to data visualization or machine learning.

Function

As an Operational Research Analyst (V.I.E) , you will contribute to develop our activities worldwide by :

·  Defining, developing and validating optimization models in operational research where the goal is to improve assets management
·  Ensuring support to the clients of these models
·  Training the operational people to the use of the models and propose them ways to improve the modelling
·  Ensuring a good integration of the mathematical model into the client environment (run as a service) or in a complete tool
·  Producing dynamic visualizations of the results of our models (for instance using Javascript libraries)

Note the data science and machine learning take more and more importance in our department. Even if this is not the priority of this V.I.E, the topic may be discussed.

Do you tick all the boxes?

We are looking for talented and motivated people to create the future of sustainability transition . Join a rewarding and flexible work environment that encourages innovation and creativity and help us meet the energy challenges of today and tomorrow.

·  You hold a degree in engineering with a solid applied mathematics background, a good basis and interest for IT (ideally Python for computer science)
·  You have a good knowledge of mathematical modelling language is a plus (GAMS, …)
·  You have good analysis capabilities, easy to manipulate complex concepts
·  Having knowledge of energy markets or operations is an asset (electricity production, gas procurement, portfolio management)
·  You are fluent in English
·  You are rigorous, autonomous and can take initiatives
·  You have strong communication skills and are able to convince
·  You enjoy teamwork in an agile environment

Our offer

·  An innovative working environment (NWOW) with a real flexibility
·  The opportunity to discover a large group while remaining in a startup atmosphere
·  Supported and coached by an international Agile team to improve your competences in Operational Research and IT
·  The duration of the mission may be extended to a second year
·  This mission may lead to a stable, full-time position in an internationally reputed company
·  The duration of the mission may be extended to a second year
·  Office location : Louvain-La-Neuve or Brussels
·  Start Date : 1/02/2021

Equal Employment Opportunity

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Additional Information
·  Posting Date: Oct 19, 2020

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