At a Glance
- Tasks: Build data pipelines and forecasting models for the GB intraday power market.
- Company: Join Octopus Energy Trading, a leader in innovative energy solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with diverse teams and exciting projects.
- Why this job: Make a real impact on the transition to a sustainable energy future.
- Qualifications: Experience with Python and machine learning; passion for Net Zero.
The predicted salary is between 60750 - 74250 £ per year.
At Octopus Energy Trading, we’re on a mission to reshape the future of energy. As part of Octopus Energy Group, we’re creating an innovative approach to trading that will accelerate the transition to a Net Zero world. With the growth of renewables and a push toward decarbonising heating and transport, greater flexibility in the grid is essential. We are building cutting-edge technology to optimise everything from domestic EV charging to grid-scale batteries, to meet the global demand for energy flexibility.
We’re looking for passionate and unconventional thinkers to join us on this journey, bringing a diversity of experience and ideas to shape a more efficient, flexible, and sustainable energy system. With an increase in variable and distributed supply, using data for trading and forecasting has never been more important. Octopus has always had a tech-first approach, and our trading and analytics tools are all built in-house. We are looking for a data scientist who’s comfortable building data pipelines bringing together internal and external data to create market leading insights using both classical and ML techniques. This will include looking at demand, renewables and transmission system fundamentals forecasts focussed to begin with on the GB intraday power market.
What You'll Do:
- 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
What You'll Need:
- 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
Data Scientist employer: JABARI
At THE·TEAM, we pride ourselves on being an exceptional employer, offering a vibrant work culture that thrives on creativity and collaboration. Located in the heart of London, we provide our employees with unique opportunities to engage with top brands and industry leaders, fostering professional growth through hands-on experiences and networking events. Join us to be part of a dynamic team where your contributions are valued, and your career can flourish in one of the most exciting sectors in the world.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨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 JABARI!
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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 JABARI.
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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!
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 JABARI, 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 JABARI. 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 JABARI
✨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 JABARI!
✨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.
