At a Glance
- Tasks: Build and maintain forecasting models for the GB intraday power market using ML techniques.
- Company: Join Octopus Energy Group, a leader in sustainable energy solutions.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborate with diverse teams across Western Europe in a dynamic environment.
- Why this job: Make a real impact on the Net Zero transition while innovating in energy trading.
- Qualifications: Experience in data science, predictive analytics, and machine learning is essential.
The predicted salary is between 63000 - 77000 £ per year.
Octopus Energy Group is hiring a data scientist to build and maintain forecasting models for the GB intraday power market, integrating data from multiple sources and applying ML techniques.
You will contribute to energy trading insights and innovate forecasting frameworks across Western Europe.
The role focuses on predictive analytics, demand and renewables forecasting, and close collaboration with Trading, Renewables and Analytics teams to drive the Net Zero transition.
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Energy Trading Data Scientist — Forecasting & ML Innovator in London employer: Octopus Energy Group jobs
At Octopus Electric Vehicles, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters autonomy and innovation. Our commitment to employee growth is evident through our recognition as one of the best companies to work for, where you can thrive in a fast-paced environment while contributing to a greener future. With unique perks like a dog-friendly office and a focus on meaningful work, you'll find a supportive community that values your contributions and encourages you to shape the future of electric vehicle leasing.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Trading Data Scientist — Forecasting & ML Innovator in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Energy Trading Data Scientist — Forecasting & ML Innovator in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Octopus Energy Group jobs, 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.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Octopus Energy Group jobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Octopus Energy Group jobs
✨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!
✨Showcase Your Projects
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 Octopus Energy Group jobs!
✨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.
