About US (GEMS):

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

3,300 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our +120,00 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 expertises:

• Asset management

• Energy transition services

• Energy supply & global commodities

• Risk management & market access

At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

More info on GEMS Hub (https://gems.engie.com) or LinkedIn (https://www.linkedin.com/company/engie-global-energy-management-solutions).

Job Description

As Trading Data Scientist, you will be responsible for:

• Designing and implementing new business use cases, going through rotations in the business divisions.
• Acting as Data science expert for GEM (tools, methodology)
• Ensuring Market intelligence on Data Science topics
• Liaising with other Engie Data Science communities and projects

The Trading Data Scientist will be based in the transversal Data team located in Paris and will report to the Chief Data Officer.

Some of the initial use cases may include optimization of trading/hedging strategies, customer flow data and management of full supply contracts

Profile

• Strong academic background, ideally from Engineering, Mathematics, Physics or Computing
• Experience in a commodity trading environment is a plus
• Power and gas markets fundamentals knowledge is a plus

Technical and professional skills:

• Excellent research and analytical skills, with the ability to synthesize analysis into concrete value creation
• Excellent quantitative skills
• Strong Programming skills: Python, C# is a plus
• Data management skills
• Team player

Soft skills and competencies:

• Ability to work under pressure in a fast-paced environment
• Self-motivated and result driven with a high level of initiative and creative problem solving
• Team player