As a Forecasting Data Scientist, you are responsible for analysing energy forecasting and settlements data to support business decisions.
You will
- Perform energy forecasting and settlements data analysis, ensuring outputs meet quality standards and deadlines to support informed business and commercial decisions.
- Develop and maintain new and/or existing Python-based machine learning models to interrogate large volumes of settlements data to forecast future energy consumption.
- Working with a high degree of independence, implement novel solutions or appropriate mitigations as required by changing circumstance or requirement to ensure analysis remains relevant and timely.
- Engage with colleagues across the business to maintain a broad awareness of developments in the energy sector and how these will affect our commercial forecasting activities.
A Mathematics and Statistics to tertiary education (preferably higher). Science or Engineering (related to the use and distribution of electrical energy) to secondary education minimum.
- The ability to code in Python working with large datasets as a minimum. Familiarity with standard Python packages (NumPy/Pandas/Scikit-learn etc.) and some knowledge of VBA and SQL would also be preferable.
- Competent user of specific Azure data related resources (or similar) including: Databricks and Storage Account (Data Lake).
- The ability to plan and develop new and existing models or analytical tools with a logical approach to design and maintenance.
- Advanced skills when using Microsoft Excel, with solid proficiency in MS Access and the broader Microsoft Office suite.
SSE has a bold ambition - to be a leading energy company in a net zero world. We're investing around £10 million a day in homegrown energy to help power a cleaner, more secure future.
SSEN Distribution, part of the wider SSE group, powers 3.9 million UK homes and businesses. Our team of more than 4,200 skilled engineers, customer service advisors and energy experts keep customers connected to a safe, reliable supply of electricity while investing in and developing the flexible networks needed for our low carbon future.
Enjoy discounts on private healthcare and gym memberships. Wellbeing benefits like a free online GP and 24/7 counselling service. Interest-free loans on tech and transport season tickets, or a new bike with our Cycle to Work scheme. As well as generous family entitlements such as maternity and adoption pay, and paternity leave.