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- Tasks: Create and maintain forecasting models for electricity demand and renewables.
- Company: Leading energy company in Greater London focused on innovation.
- Benefits: Attractive perks, autonomy in projects, and a unique company culture.
- Why this job: Join the mission for Net Zero while working with cutting-edge data science.
- Qualifications: Strong Python and machine learning skills; team players welcome.
- Other info: Exciting opportunity to make a real impact in energy trading.
The predicted salary is between 43200 - 72000 £ per year.
A leading energy company located in Greater London is looking for a data scientist to drive innovative solutions in power trading. The role involves building and maintaining forecasting models for electricity demand and renewables, requiring strong Python and machine learning skills. Candidates should be team players passionate about contributing to a Net Zero goal. Attractive benefits including a unique culture with autonomy across projects are offered.
Data Scientist — Energy Trading & Forecasting for Net Zero employer: Octopus Energy
Contact Detail:
Octopus Energy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Energy Trading & Forecasting for Net Zero
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your Python projects and machine learning models. We want to see how you tackle real-world problems, especially in energy trading and forecasting.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data science concepts and coding challenges. We recommend using platforms that simulate real interview scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist — Energy Trading & Forecasting for Net Zero
Some tips for your application 🫡
Show Your Passion for Net Zero: When writing your application, make sure to highlight your enthusiasm for contributing to the Net Zero goal. We love candidates who share our vision for a sustainable future, so let that passion shine through!
Highlight Your Technical Skills: Since this role requires strong Python and machine learning skills, be sure to showcase your experience with these technologies. We want to see specific examples of how you've used them in past projects or roles.
Be a Team Player: We value collaboration, so don’t forget to mention your experience working in teams. Share stories that demonstrate your ability to work well with others and contribute to group success.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you on board with our unique culture!
How to prepare for a job interview at Octopus Energy
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with libraries like Pandas and NumPy, and be prepared to solve coding challenges on the spot. Practising common data manipulation tasks can really help you shine.
✨Showcase Your Machine Learning Knowledge
Familiarise yourself with various machine learning algorithms and their applications in forecasting models. Be ready to explain how you've used these techniques in past projects, especially in relation to energy trading or demand forecasting. Real-world examples will make your answers stand out.
✨Demonstrate Your Passion for Net Zero
This role is all about contributing to a Net Zero goal, so make sure you convey your enthusiasm for sustainability and renewable energy. Share any relevant projects or initiatives you've been involved in that align with this mission, as it shows you're not just a data whiz but also a team player who cares.
✨Prepare Questions About Company Culture
Since the company offers a unique culture with autonomy across projects, come prepared with questions that show your interest in their work environment. Ask about team dynamics, collaboration methods, and how they support innovation. This will demonstrate that you're not only focused on the role but also on fitting into their culture.
