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Data Scientist - Innovation Squad program

📁
Trading / Portfolio management
💼
Global Energy Management
📅
GLO00000785 Requisition #
Who we are

ENGIE is a global energy company, a leading provider of electricity, natural gas, and energy services. With 153,090 employees in more than 70 countries worldwide, ENGIE achieved revenue of €66.6 billion in 2016. ENGIE is committed to being a leader in the energy transition. We are looking for talented and motivated people to create the future of energy. Join a rewarding and flexible work environment that encourages innovation and creativity, and help us meet the energy challenges of today and tomorrow. 

Global Energy Management (GEM) is one of ENGIE's Business Units. We deliver services in supply and logistics management, asset management, risk management, market access management, while contributing to the market understanding, design and efficiency and developing market solutions to accelerate the energy transition. GEM manages one of the largest and most diversified energy portfolios in Europe, including electricity, natural gas, bulk commodities and environmental products. With 5 trading platforms and activities in more than 50 countries, GEM has an extended geographical coverage in Europe, Asia-Pacific and in the US. It employs 1,300 people around the world.

Organization

A community of Innovation Catalysts to solve strategic business challenges and deliver impactful digital services among Energy Global Management solutions teams.

Context

During a twenty months period, you will join on a permanent contract an international and fast moving business unit in a major energy group to work on different challenges linked to data and digital transformation : that is the DNA of the Innovation Squad Program.

An 20-month rotational program built on three pillars :

1. A structured immersion program : Throughout the program, you will unleash your entrepreneur talent through two ten-month rotations during which we will rely on you to solve various challenge with innovative solutions in order to foster value creation and energy transition.

2. Coaching and support : You will be supported by a mentor and you will also be equipped at all stages of the program with the best methods, co-development approach, experiences through events and entrepreneurs networks to help you succeed throughout the 20-month program.

3. An inspiring community : Each challenge of the program is led by a squad, composed by an intern expert, an operational mentor and you. The three of you will gather your different expertise and skills to deliver and solve the challenge. Also, you will learn from different experts and facilitate the sharing of best practices within the organization.

The mission of 3MV team is to build and maintain GEM competitive advantage by an in depth understanding of commodity markets. We sit on the trading floor and cover gas, power, carbon, coal, and oil markets. We develop fundamental market analysis to define GEM market views and to propose trading strategies or business ideas. The challenge is about reducing by 2 the error of in house day ahead hourly power price forecast to develop automatic trading strategies.

Role

As a Data Scientist you will coordinate developments of the team on innovative methods to analyze commodity markets. You will focus on fostering machine learning applications., and support the traders, the portfolio managers and GEM front entities.

Main Activities

- Develop machine learning and statistical models to forecast power market price
- Translate model results into trading strategies or business ideas
- Set up and publish regular and ad-hoc reports
- Collaborate with IS teams to develop a data driven vision
- Explore new sources of data (images, texts…)
- Develop close relationship with traders, portfolio managers and provide some real time support
- Collaborate with traders and operational teams to better answer and anticipate their needs
- Promote team spirit and collaboration

Work location

Brussels, ENGIE TOWER

Travels

Occassional: Paris

Education and professional background

- Master of Science or PhD, specialized in statistics or data science
- 2/3 years working experience

Hard skills

- Strong analytical and programming skills
- Ability to build models + ability to apply data science & machine learning to operational topics
- Experience in a trading environment: ability to work with traders, to translate market analyses into propositions/strategies and to communicate them clearly
- Good knowledge of energy markets
- Excellent knowledge of Python, R and/or other modeling languages

Soft skills

- Good communication skills: ability to explain complex issues; ability to work in multi-cultural environment
- Reactivity, creativity, initiative,
- Able to cope with tight deadlines
- Strong team spirit

Languages

- Fluent in English is mandatory
- Knowledge of French/Dutch is a plus

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