Operational Research Analyst
il y a 2 semaines
**OPERATIONAL RESEARCH ANALYST (V.I.E)**
**Sustainability Solutions - EMEAI**
While society is making strides toward a sustainable future, it isn’t happening fast enough.
**ENGIE Impact** delivers sustainability solutions and services to corporations, cities and governments worldwide. We help organizations accelerate their sustainability transformations by providing end-to-end solutions that are environmentally and economically beneficial and result in long-term growth.
**From strategy to implementation**, our goal is to help our clients embed sustainability throughout their operations, saving money and resources, and reducing their impact on the environment. **ENGIE Impact** is unique because we can leverage ENGIE Group’s world-class expertise in zero-carbon energy, mobility, and buildings as well as innovative digital tools and financing capabilities to offer our clients a true end-to-end solution.
The Sustainability Solutions group within ENGIE Impact is a growing team of **deep experts and top-tier consultants** who are translating these capabilities into solutions for our clients’ most complex challenges.
With 16 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.
**Ready to act Right Now, for Tomorrow?**
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.
Your role must be performed in full compliance with the ENGIE Impact’s standards in terms of Quality / Safety / Legal / Ethics.
**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. Knowledge of a local language is an advantage.
- 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.
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.
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