Forecasting Data Scientist

at  Octopus Energy Group

The Energy Markets team at Octopus Energy is responsible for making sure that we always have the electricity and gas we need to support our customer demand whilst also supporting the grid to enable the Net Zero transition.
To achieve this mission across all Octopus international regions, we need to forecast the demand of each of our customers and the production of our generation assets. The Forecasting team owns the underlying models and the forecasting data platform that feeds into business operations across the international group.
We are looking for a Data Scientist to join the team - ideally someone who is skilled at data analysis, has at least some experience or familiarity with machine learning models and can grasp the commercial concepts and needs of the wider business to really add value.

WHO WE ARE LOOKING FOR:

• Experience with Python (pandas) and SQL is essential;
• Able to quickly understand commercial concepts quickly and effectively;
• Team player excited at the idea of ownership across lots of different projects and tools;
• Passion for driving towards Net Zero;
• Drives knowledge sharing and documentation for a more effective platform;
• Open to travelling to Octopus international offices;
• Experience with Machine Learning, dbt, Airflow and Spark is beneficial.
• Experience in the energy industry

• Building, improving and maintaining forecasting models.
• Development on forecasting framework and tools.
• Maintaining and automating forecasting processes, whilst building in checks and alerting.
• Designing and building forecasting dashboards/ reports that cover operational processes and reporting requirements;
• Standardising and rolling out forecasting models across the international markets.
• Performing ad-hoc analysis.
• Collaborating with Risk, Trading, Renewables, Flexibility teams and building pipelines into the wider business.