At a Glance
- Tasks: Build data pipelines and forecast electricity demand for the GB intraday power market.
- Company: Join Octopus Energy Group, a leader in renewable energy and analytics.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on sustainability and innovation.
- Why this job: Make a real impact on the future of energy with innovative forecasting techniques.
- Qualifications: Experience in data science and a passion for renewable energy.
The predicted salary is between 60750 - 74250 £ per year.
Octopus Energy Group is seeking a data scientist to join our trading and analytics team. You’ll build data pipelines, forecast electricity demand and renewable generation, primarily for the GB intraday power market, and integrate internal and external data to deliver market-leading insights. You'll explore data needs, develop forecasting frameworks, automate processes, and collaborate with Trading, Renewables, and other teams to turn models into actionable price forecasts, helping us accelerate.
Energy Market Forecasting Data Scientist in London employer: Worklane GmbH
At Octopus, we pride ourselves on being an exceptional employer, offering a vibrant work culture in our brand-new Weybridge office. With an uncapped commission scheme, generous car allowance, and a commitment to personal growth, we empower our Sales Executives to thrive in a dynamic environment focused on sustainability and customer satisfaction. Join us to be part of a forward-thinking team that values inclusivity and innovation, ensuring every employee feels valued and supported.
StudySmarter Expert Advice🤫
We think this is how you could land Energy Market Forecasting Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Worklane GmbH!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Energy Market Forecasting Data Scientist at Worklane GmbH.
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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 Worklane GmbH.
✨Apply Directly through Our Website
When you find a suitable opening like Energy Market Forecasting Data Scientist at Worklane GmbH, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Energy Market Forecasting Data Scientist 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 Worklane GmbH, 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 Worklane GmbH. 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 Worklane GmbH
✨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 Worklane GmbH!
✨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.
