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Energy Data Scientist

164 members • Free

4 contributions to Energy Data Scientist
What solver do you use for your optimization models?
If you are developing optimisation models, I'm curious what solvers do you prefer for your mathematical optimization models. Whether you're doing linear programming, mixed-integer, or nonlinear optimization.
1 like • 5d
@Nick Anf Similarly
1 like • 5d
@Paul E. Adams PhD Many years!
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 .
New Video: Volatility in Option Pricing for Crude Oil
1 like • 5d
Fantastic video explanation of volatiltity in oil contracts.
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.
1 like • 5d
Thank you Dr for your invitation and addition to this group.
Option Contracts for Crude Oil
A new video has been added to the online course 5.20 in the Classroom. This video explains what an option chain is. An option is a contract that gives its owner the right to buy or sell an asset (it is called 'underlying asset') such as WTI crude oil (in this example) at a fixed price (called 'strike price') by a certain date when the option expires. The underlying asset is WTI Crude in this case . WTI stands for West Texas Intermediate. It is the main crude oil benchmark in the United States. When you hear "oil prices" in American news, they're usually referring to WTI. Crude oil is unrefined petroleum extracted from the ground. Its spot price is $78.5/barrel. The spot price changes every second. An option chain is a set of options having the same underlying asset. In this case, the chain has a set of 5 call options has the same underlying asset i.e. WTI Crude. So in this video WTI crude oil is trading at $78.50 per barrel. We have five options with different strike prices: $70, $75, $80, $85, and $90. I explain what these numbers mean and how they form an option chain.
1 like • 5d
Course 5.20?
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Dr J Fid
2
15points to level up
@dr-j-fid-6256
Academic

Active 5d ago
Joined Dec 1, 2025
ESTP
Belgium