National Grid is looking to manage a team to define and build market models, test new products and services, mine big data to better understand customers and their energy habits and be the catalyst of process reengineering through advanced analytics.
Requirements
- Data Science tools and techniques: from statistics to ML to GenAI, Python, SQL
- Experience with cloud computing in Linux and Windows environments (Azure is a plus)
- Strong background in full lifecycle of Data Science products
- Experience with Gen AI and LLM tools
- Data Science competition entries (kaggle, kdnuggets, etc.)
- Experimental Design experience
Responsibilities
- Lead, manage, and mentor a team of Data Scientists
- Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations
- Discover the best methods of integrating data from several different sources and formats for use in analyses
- Project manage efforts both internal to the team and across all the enterprise: US and UK, Gas, Electric, all Support Functions
- Be intellectually curious and enjoy learning we are constantly innovating and exploring
Other
- 5+ years of Data Science experience (utility or energy sector is a plus)
- Experience leading a team of Data Scientists
- Demonstrated ability to communicate and interact with business stakeholders without supervision
- Demonstrated ability to translate technical knowledge into business terms
- Master’s degree in a quantitative discipline, exceptional candidates considered with Bachelor’s degree or Master’s degree in progress
