Octopus EnergyData Scientist
Octopus Energy is hiring a Data Scientist. Level rates it ; you can apply on Level.
AI in this role
Build data pipelines and machine learning models for energy trading and market forecasting at Octopus Energy.
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.
How we rate this
Data Scientist at Octopus Energy rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $169k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where forecasting was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine learning, Data Pipelines, Forecasting, Data Science, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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