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- Tasks: Support GEMS UK Renewables trading desk with data science and machine learning projects.
- Company: ENGIE is a global leader in low-carbon energy solutions, driving the transition to a carbon-neutral world.
- Benefits: Enjoy a dynamic work environment with a focus on innovation and work/life balance.
- Why this job: Join a team that values curiosity and teamwork while making a real impact on renewable energy.
- Qualifications: Master's degree in Data Science, Computer Science, or related fields; strong programming skills in Python required.
- Other info: No prior experience needed; all backgrounds welcome, including those with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
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!
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:
- Proficient in English
Travels:
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)
Education Level: Master\’s Degree #J-18808-Ljbffr
VIE Data Scientist employer: Engie
Contact Detail:
Engie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land VIE Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in renewable energy and power markets. Understanding the current landscape will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Brush up on your Python programming skills, especially in relation to data science and machine learning. Being able to showcase your technical abilities in these areas can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the energy sector, particularly those involved in data science and trading. Engaging with industry experts can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare to discuss your adaptability and problem-solving skills. The role emphasizes working in a dynamic environment, so be ready to share examples of how you've successfully navigated challenges in the past.
We think you need these skills to ace VIE Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the VIE Data Scientist position. Familiarize yourself with the energy market and the specific projects mentioned in the job description.
Tailor Your CV: Customize your CV to highlight relevant skills and experiences that align with the job description. Emphasize your data science and programming skills, particularly in Python, as well as any experience with machine learning and forecasting.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your passion for the energy sector and your eagerness to contribute to ENGIE's mission. Mention your adaptability, curiosity, and team spirit, as these soft skills are highly valued for this role.
Proofread Your Application: Before submitting your application, carefully proofread all documents to ensure there are no grammatical errors or typos. A polished application reflects your professionalism and attention to detail.
How to prepare for a job interview at Engie
✨Showcase Your Data Science Skills
Be prepared to discuss your programming skills, especially in Python. Highlight any relevant projects or experiences where you've applied data science techniques, particularly in forecasting or machine learning.
✨Understand the Energy Market
Familiarize yourself with the energy business and power markets. Being able to discuss current trends, challenges, and innovations in renewable energy will demonstrate your genuine interest in the field.
✨Demonstrate Adaptability and Curiosity
ENGIE values candidates who can adapt to a constantly changing environment. Share examples from your past experiences where you successfully navigated change or took the initiative to learn something new.
✨Prepare for Technical Questions
Expect technical questions related to machine learning models and trading strategies. Brush up on your knowledge of backtesting and calibration processes, as well as any experience you have with AWS.
