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Oct 2 •
Careers + Prices + Benefits (UPDATED 5/Dec/2025)
⚡ The Energy Data Scientist Training Program Welcome! This community hosts the Energy Data Scientist training program, designed to help beginners build and maintain expertise at the intersection of the energy sector and data analytics. 🎯 Who is this for? This program is designed for ambitious individuals who want to pivot into a high-growth career. - Education: You hold at least a Bachelor’s degree (BSc) in a STEM discipline, or you are an undergraduate student currently pursuing one. - Experience: No prior knowledge of coding or energy is required. We start from scratch. - Mindset: You must have a genuine interest in learning both coding and energy markets. The program combines these two worlds with a strong emphasis on practical coding skills. 🚀 The Career: What is an Energy Data Scientist? An Energy Data Scientist is a professional who combines: 1. Energy Economics: Understanding energy finance, markets, and grid dynamics. 2. Data Science: Applying machine learning, and optimization to real-world problems. As an Energy Data Scientist, you can thrive as: - A Specialist: Work as a Data Scientist, ML/AI Engineer, Quant, or Consultant within the energy sector. - An Entrepreneur: Launch startups or work as an independent high-level consultant. - A Researcher: Pursue academic heights (e.g., PhD). 💰 Salary Potential: After 2–3 years of experience, professionals in this niche often command salaries around £100,000/year in the UK and $250,000/year in the US (depending on the company and market conditions). Why is demand so high? - Differentiation: You are more valuable than a "pure" data scientist because you understand the domain (Energy). - Job Security: You are less likely to be replaced by generalist AI because your role requires specific, complex domain knowledge. - Market Growth: The energy sector is exploding due to the electricity demand required to power AI data centers globally (USA, Europe, Asia, Middle East). - Versatility: You can pivot easily between energy-focused roles and tech-focused roles.
2d •
Energy Industry Report: Solar PV Companies in China --> Battery Storage
A new report has been uploaded in the Classroom section (6.2 - Industry Reports). The report focuses on Chinese companies that manufacture solar Photovoltaics. These companies are now expanding into the battery storage business. So far, they were only selling/manufacturing solar Photovoltaics. However, battery storage is exponentially growing in China and globally. The opportunities are massive for profitability. Chinese solar panel makers like Longi, Trinasolar, and JinkoSolar have made billions selling solar Panels. Solar power has grown so fast that electricity grids can't handle all the electricity being produced during sunny hours. The demand for battery storage is growing exponentially. So, these companies are now moving into combined solar-and-battery systems. So, they keep the solar business, but they also add battery development. This leads to cost reductions and increases their profitability. For the full analysis, visit Classroom → 6.2 Industry Reports. This report has been written based on the following sources below, which are available only if you have subscribed to them (e.g., Financial Times, Wall Street Journal, etc.). However, since you are a subscriber to this Skool community, I bring you the key points from these developments, without you having to subscribe to them. And: you get additional important details not included in the original articles. Sources: [1] Financial Times: https://www.ft.com/content/fb8d1b58-96fd-40af-803c-41fe87cab4f9 [2] The Economist: https://www.economist.com/special-report/2025/11/03/how-china-sparked-a-rooftop-solar-revolution-in-pakistan [3] Wall Street Journal: https://www.wsj.com/world/china-renewable-energy-paris-climate-accord-ff123bfc
3d •
Free Publication
A new journal by Elsevier accepts Energy publications. So it is free of charge. If anyone wants to collaborate , maybe we could send a publication there. They are free of charge until 2027. After that, it is 3000 USD from what it says. It says "Transformative Energy: Hydrogen, Fuel Cells, Energy Carriers and Storage is an international, multi-disciplinary journal focused on hydrogen energy engineering and research. It aims to be a leading platform and an authoritative source of information related to clean hydrogen production with low energy consumption, high-density storage, secure transportation, and system-level integration. The journal focuses on green fuels of hydrogen and hydrogen carriers (such as ammonia, alcohols, alkanes etc.) and their applications in future sustainable energy systems. The journal welcomes papers on energy planning and management for hydrogen energy systems (such as fuel cells, water electrolysis, photoelectrochemical water-splitting etc.) along with their components, equipment, and infrastructure. It also publishes research for efficiency enhancement, performance optimization and operation control in hydrogen energy system. Hydrogen energy conversion, storage, and transport processes through experimental, analytical, numerical, and AI-assisted approaches are also within the journal’s scope. Hydrogen safety, policy, and economic assessments are within the context of the broader multi-disciplinary scope of Transformative Energy: Hydrogen, Fuel Cells, Energy Carriers and Storage". Here is the link: https://www.sciencedirect.com/journal/transformative-energy?lid=k9z8uneb0p6r&utm_source=braze&utm_medium=email&utm_campaign=STMJ_281677_CALLP_OANJLPRE&utm_content=3be1e016-162f-48c5-85d2-08d66bd43056&utm_term=3be1e016-162f-48c5-85d2-08d66bd43056_281677_CALLP-OANJLPRE_SCO-INT_NOAB_SINGLE_ALL&DGCID=STMJ_281677_CALLP_OANJLPRE
4d •
New video on Quantitative Finance (Energy/Oil): Risk Free Rate
In the Classroom, a new video has been added to the online course 5.20. This is a quantitative finance (energy) course with a focus on Option Contracts for crude oil. This video explains the concept of risk free rate in this context. We need to learn what the risk free rate is because later in the code (in a future video) we will use the risk-free rate for finding the price of the option contract. Every option contract has a 'price' which is known as the 'premium', which we evaluate (later on) using Black Scholes. An input parameter in Black Scholes is the risk-free rate. The video explains that to find the risk-free rate we need to first check what our Option Contract is priced at. So, it is priced in US dollars because the Crude Oil is priced in US dollars. Therefore we look at the United States. Then we need to find the time-to-maturity. In our case, the Option expires 1 month from today. This is the example in our code. With this information , we use our financial source like Bloomberg. And we check the 1-month yield of the U.S, Treasury Bill. The US Government has zero risk of default (going bankrupt). Ofcourse In the real world, nothing is truly zero risk. But this is the assumption, which is widely accepted in finance. A numerical example explains what our return will be one month after we invest in this zero-risk investment vehicle.
5d •
New Video: Volatility in Option Pricing for Crude Oil
A new video has been uploaded in the Online Course 5.20 in the Classroom. This course focuses on option contracts for crude oil, where the underlying asset is the spot price. An option contract is signed between two parties/ companies . Every option contract applies to an asset . This asset is known as “underlying”. So this course is about option contracts that have the crude oil as their underlying asset. The company that owns the option contract can exercise it until it expires. There is no obligation to exercise it. This is why it is called “option contract”. The company will exercise it only if it makes economic sense ie if it makes a profit. The video focuses on the “volatility” concept of option contracts . The video explains that the spot price of crude oil follows a probability distribution called : lognormal distribution. The attached plot, explained in the video, visualizes this concept. It shows how higher volatility (the red line) creates a much wider range of possible spot price outcomes compared to lower volatility (the green line). So a higher volatility means that in the future , the spot price of crude oil is more uncertain than if the volatility was lower. So volatility is similar to uncertainty . And it is visualized as a probability distribution that is wider. This plot shows the spot price of crude oil one year from today. One year from today this price is uncertain . The spot price of oil follows the log normal distribution . This distribution has a different shape depending on the volatility . Here we look at values for volatility of 10%, 30% and 50%. This is a fundamental plot and analysis for any quantitive finance / energy career . This specific plot has been part of multiple interviews for years . This plot is analyzed in the video using simple language. If you have any questions please contact me. I want this concept to be as clear as possible .
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