Hi, im new here, and recently taking the course to understand energy analytics. Ive been having a look around on linkedin at some jobs as a junior can get into. theres a role for "Power Market Modelling Consultant" - Here is a snippet of their requirements.. What You’ll Be Doing - Building and running market models to explore price evolution, dispatch patterns, capacity dynamics, and policy impacts. - Applying tools such as PLEXOS, Python, R, and advanced spreadsheet modelling to deliver evidence driven insights. - Supporting economic and regulatory assessments, including evaluating future energy scenarios and system wide implications. - Communicating complex findings clearly to internal teams and external stakeholders. - Working with multidisciplinary colleagues on projects for government, industry, and energy ecosystem organisations. About You - A good understanding of UK or European electricity markets, system operation, and market drivers. - Experience using PLEXOS or similar modelling environments, plus familiarity with scripting or statistical tools. - A background in energy modelling, forecasting, simulation, economics, or related analytical fields. - Excellent communication skills, collaborative mindset, and the ability to translate complex modelling outputs into clear messages. can someone just explain what type of knowledge i would require for a job like this? i have general python, sql, excel knowledge so trying to transfer into energy analytics. or can someone recommend some junior analyst roles i can do instead or what the job spec will look like? im just trying to understand, what type of things i should be focusing on. Would really love everyones input.

In the interview , for a company (energy investments / commodities) a panel of 3 interviewers asked me the following during a discussion . Panel: Let's talk about some important Python details. It's ok if you don't remember things. Just an approximate answer will be fine for us. So, in Python, what is the difference between a List comprehension and a Generator expression. In a few words... Correct answer: A generator expression is like a list comprehension, except that it doesn't store the list in memory. Panel: Give some example . Write here in the tablet. Answer: list comprehension: simulated_returns = [price * volatility for price in historical_data] portfolio_value = sum(simulated_returns) generator: simulated_returns = (price * volatility for price in historical_data) portfolio_value = sum(simulated_returns)

The term 'Energy Data Scientist' means more than just a Data Scientist who works in an Energy Company. Given the skills that this Skool community teaches, what jobs does the Energy Data Scientist cover?