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- Tasks: Develop forecasting models for the GB intraday power market and enhance data frameworks.
- Company: Leading renewable energy company focused on sustainability and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Shape the future of energy trading while contributing to a sustainable planet.
- Qualifications: Proficiency in Python, Machine Learning skills, and a passion for sustainability.
- Other info: Collaborative environment with a focus on innovative insights and teamwork.
The predicted salary is between 36000 - 60000 £ per year.
A leading renewable energy company in the UK is seeking a Data Scientist to develop forecasting models for the GB intraday power market. You will explore data needs, build and enhance forecasting frameworks, and collaborate across teams to bring innovative insights.
The ideal candidate will have essential skills in Python and Machine Learning, along with a passion for sustainability and the drive towards Net Zero. This role presents an exciting opportunity to shape the future of energy trading.
Energy Trading Data Scientist – GB Intraday Forecasting & ML in City of Westminster employer: Octopus Energy Ltd
Contact Detail:
Octopus Energy Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Trading Data Scientist – GB Intraday Forecasting & ML in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to people in the energy sector, especially those working in data science or trading. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects and machine learning models. This is your chance to demonstrate your expertise and passion for sustainability in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and industry trends. Be ready to discuss how your work can contribute to Net Zero goals and the future of energy trading.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Energy Trading Data Scientist – GB Intraday Forecasting & ML in City of Westminster
Some tips for your application 🫡
Show Your Passion for Sustainability: When writing your application, let us see your enthusiasm for sustainability and the drive towards Net Zero. Share any relevant experiences or projects that highlight your commitment to renewable energy.
Highlight Your Technical Skills: Make sure to showcase your skills in Python and Machine Learning clearly. We want to know how you've used these tools in past projects, so don’t hold back on the details!
Tailor Your Application: Customise your application to fit the role of Energy Trading Data Scientist. Use keywords from the job description and relate your experiences directly to the responsibilities mentioned. This helps us see why you’re a great fit!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Octopus Energy Ltd
✨Know Your Data
Make sure you brush up on your data analysis skills, especially in Python. Be prepared to discuss how you've used data to build forecasting models in the past. Having specific examples ready will show your expertise and passion for the role.
✨Understand the Market
Familiarise yourself with the GB intraday power market and current trends in renewable energy. Being able to discuss recent developments or challenges in the sector will demonstrate your genuine interest and commitment to sustainability.
✨Showcase Your Collaboration Skills
This role involves working across teams, so be ready to share experiences where you've successfully collaborated with others. Highlight how you’ve communicated complex data insights to non-technical stakeholders, as this will be crucial in your new role.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and forecasting frameworks. Brush up on key concepts and be ready to explain your thought process when developing models. Practising coding problems can also help you feel more confident during the interview.
