Enable job alerts via email!

VIE Data Scientist

ENGIE Group

London

On-site

GBP 150,000 - 200,000

Full time

30+ days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

Join a dynamic team at a leading energy management firm, where you'll support the development of renewable energy trading strategies. This role offers the chance to work on innovative projects that drive the UK’s green power transition. As a key player in the Valuation & Analysis team, you will leverage your data science expertise to enhance machine learning models and production forecasts. This is an exciting opportunity to grow in a fast-paced environment while contributing to sustainable energy solutions. If you are curious, adaptable, and eager to make an impact, this position is perfect for you.

Qualifications

  • Strong data science and programming skills, especially in Python.
  • Master’s degree in relevant fields like Data Science or Engineering.

Responsibilities

  • Develop price and volume forecast models for power markets.
  • Backtest and calibrate trading strategies for renewable assets.

Skills

Data Science
Python Programming
Machine Learning
Forecasting
Adaptability
Teamwork
Communication

Education

Master’s Degree in Data Science
Master’s Degree in Computer Science
Master’s Degree in Statistics
Master’s Degree in Mathematics
Master’s Degree in Energy Economics
Master’s Degree in Engineering
Master’s Degree in Finance or Economics

Tools

AWS

Job description

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.

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 decarbonize 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.
  • 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
  • Must have:
    • You know how to adapt; you like to develop yourself in a constantly changing environment
    • You are curious, very dynamic, serious, and 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!
Education and professional background:
  • Master’s Degree or Equivalent: Specify degrees in areas such as:
    • Data Science
    • Computer Science
    • Statistics
    • Mathematics
    • Energy Economics
    • Engineering (Electrical, Energy, or Industrial)
    • Finance or Economics (if complemented with data analytics expertise)
  • No prior experience required
Languages:

No traveling is expected in this role.

If you meet these requirements, then you are the talent we are looking for. Do not waste time!

Apply by attaching your updated CV, regardless of your gender.

ENGIE Global Energy Management & Sales is committed to creating a gender-neutral environment that unlocks the potential of everyone and provides equal employment opportunities for all individuals.

All our positions are open to people with disabilities; please let your recruiter know if you need reasonable accommodations to participate in the recruitment process; they will be happy to assist you.

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.

Business Unit: GEMS

Division: GEMS - BP UNITED KINGDOM

Legal Entity: ENGIE Global Markets S.A.S.

Contract Type: VIE

Job Type: Full-Time

Professional Experience: Junior (experience < 3 years)

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.