Data Science Manager

About us

Every day, we deliver safe and secure energy to homes, communities, and businesses, connecting people to the energy they need for their lives. Our expertise and track record position us uniquely to shape the sustainable future of our industry as the pace of change accelerates. To succeed, we must anticipate customer needs, reduce energy delivery costs, and pioneer flexible energy systems. This requires delivering on our promises and seeking opportunities for growth.

In IT and Digital, we collaborate closely with the diverse energy businesses within the National Grid group, revolutionizing operations through technology. Embracing Agile methodologies and Digital mindsets, we drive efficiency and bring new capabilities to internal and external customers as we lead the charge towards a carbon-free future.

Our work is critical, as National Grid powers millions of homes and businesses in the UK and US, and the technology we employ is vital to this task. The successful applicant for this position will play a crucial role in our mission, supported by our multicultural, customer-centric global team, with opportunities for professional development.

National Grid is hiring a Manager of Data Science.  This position offers remote flexibility, with the requirement that candidates reside in one of the following states: New York (NY), New Jersey (NJ), Massachusetts (MA), Connecticut (CT), Vermont (VT), Rhode Island (RI), Maine (ME), or New Hampshire (NH).

Job Purpose

The National Grid Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from simple to advanced. An ability to work cross-functionally and on agile teams is critical and you should have a broad knowledge of:

· Statistical & Probabilistic Analyses

· Programming/Software Development

· Effective Visualization and Presentation

Key Accountabilities

•    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 the enterprise
•    Be intellectually curious and enjoy learning

Qualifications

•    5+ years of Data Science experience (utility or energy sector is a plus)
•    Experience leading a team of individual contributors
•    Demonstrated ability to communicate and interact with business stakeholders without supervision
•    Demonstrated ability to translate technical knowledge into business terms
     Fluency in:
•    Data Science tools and techniques
•    Python
•    SQL
•    Experience with cloud computing in Linux and Windows environments (Azure is a plus)
•    Master’s degree in a quantitative discipline, exceptional candidates considered with Bachelor’s degree or Master’s degree in progress

Preferred Skills and Experience:
•    Strong background in full lifecycle of Data Science products
•    Regulated utility experience
•    Experience with Gen AI and LLM tools
•    Data Science competition entries (kaggle, kdnuggets, etc.)
•    Experimental Design experience
•    Interactive visualization tools (Power BI is a plus)
•    GIS knowledge (ArcGIS is a plus)
•    Knowledge of agile frameworks
 

Your Rewards

Rewarding work and a collaborative, team-oriented culture are just the beginning. Review our digital benefit guide at ngbenefitslivebrighter.com for full details and descriptions. Not Applicable.

More Information

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