FAQs
What is the main responsibility of a Forecasting Data Scientist at Octopus Energy?
The main responsibility is to build, improve, and maintain forecasting models, as well as develop and automate forecasting processes that support the company's energy demand and generation asset production.
What skills are essential for this role?
Essential skills include proficiency in Python (particularly with pandas) and SQL.
Is experience in the energy industry required for this position?
No, experience in the energy industry is useful but not required for this position.
What kind of collaboration can I expect within the team?
You will collaborate with teams such as Risk, Trading, Renewables, and Flexibility, building pipelines into the wider business.
Are there opportunities for personal development in this role?
Yes, the role offers ownership across various projects and tools, and the company encourages knowledge sharing and documentation for a more effective platform.
Does this job involve travel?
Yes, the role may involve traveling to Octopus international offices.
What technologies or tools should I be familiar with for this job?
Familiarity with machine learning, dbt, Airflow, and Spark is beneficial for this role.
How does Octopus Energy approach salary discussions?
Octopus Energy is flexible with salaries and encourages candidates to discuss their experience openly during calls with recruiters to ensure a good match.
What is the company culture like at Octopus Energy?
The company culture is unique, emphasizing autonomy and quick decision-making while supporting learning and innovative projects. It has received accolades for being a great place to work.
Are there additional employee benefits offered by Octopus Energy?
Yes, Octopus Energy offers various perks and benefits which can be explored in their UK perks hub, Octopus Employee Benefits.