At a Glance
- Tasks: Explore data to trade the GB intraday power market and build forecasting models.
- Company: Join Octopus Energy Trading, a leader in reshaping the future of energy.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with ownership across diverse projects and tools.
- Why this job: Make a real impact on the energy sector while driving towards Net Zero.
- Qualifications: Experience with Python and machine learning; team player with a passion for innovation.
The predicted salary is between 63000 - 77000 £ per year.
At Octopus Energy Trading, we’re on a mission to reshape the future of energy.
Key Responsibilities
- Exploring the types of data needed to effectively trade the GB intraday power market
- Building, improving and maintaining models to forecast electricity demand and renewable generation, primarily in GB but developing into all of Western Europe;
- Finding high quality, novel data sources to base our forecasts off of;
- Development on forecasting framework and tools;
- Maintaining and automating forecasting processes, whilst building in checks and alerting;
- Utilising these forecasting models to build or enhance our price forecasts
- Collaborating with Trading, Renewables, Flexibility and other teams to utilise our combined knowledge and data.
Requirements
- Experience with Python is essential;
- A good understanding of what forecasting techniques to use and the ability to build a simple baseline and quickly iterate;
- Ability to communicate your approach, including its strengths and limitations;
- Able to quickly understand commercial and industry concepts;
- Team player excited at the idea of ownership across lots of different projects and tools;
- Passion for driving towards Net Zero;
- Experience with Machine Learning is essential;
- Experience in the electricity industry in GB would be useful but not required.
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Data Scientist employer: NextGenEnergyJobs
NextGenEnergyJobs is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about driving change in the home energy sector. With a strong emphasis on employee growth, we offer ample opportunities for professional development and mentorship, ensuring that our team members thrive in their roles. Located in a vibrant area, we provide a dynamic environment where your contributions directly impact our mission to create sustainable energy solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like NextGenEnergyJobs.
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We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at NextGenEnergyJobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at NextGenEnergyJobs
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at NextGenEnergyJobs!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
