Data Scientist – VIE (H/F)
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.
3,600 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 190,000 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.
Context:
Engie plays a major role in the UK’s green power transition both as a developer of green power projects and de-risking new build third party assets. The UK government's ambitious targets to decarbonise the electricity system by the end of the decade have reinforced the importance of GEMS UK’s green power business.
The Valuation & Analysis team (V&A) is looking for a VIE in London whose mission is to support the development of GEMS UK Renewables trading desk. The successful applicant will work on a wide range of projects centred primarily around short term power markets and the delivery of over 1GW of renewable energy. By working with Trading, V&A and IS the applicant will have the opportunity to develop new and improve existing machine learning models and develop and improve renewables production forecasts.
Role:
- Production of price and volume forecast models for power markets.
- Backtest and calibration of trading strategies for renewable and battery assets in the GB power market.
Hard skills:
- Must have:
- Strong data science and programming skills (Python)
- Fluent in English
- Good to have:
- Understanding of the energy business and power markets
- Experience in ML and forecasting
- Having experience on AWS is a plus
Soft skills:
- Must have:
- You know how to adapt; you like to develop yourself in a constantly changing environment
- You are curious, very dynamic, serious and very professional
- You are a practical thinker, autonomous, and able to take initiatives
- You are able to explain and convey messages about complex issues
- You want to be challenged!
- You are a team player!
About ENGIE:
Our group is a global reference in low-carbon energy and services. Our purpose (“raison d’être”) is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, power, renewable energy, services) to offer competitive solutions to our customers. With our 96,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress.
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