Lead Data Scientist

natgridProd•Waltham, MA

1d•$153,000 - $192,000•Hybrid

About The Position

Every day we deliver safe and secure energy to homes, communities, and businesses. We are there when people need us the most. We connect people to the energy they need for the lives they live. To be successful, we’ll need to reduce the cost of energy delivery today and pioneer the clean energy solutions of tomorrow, keeping our customers at the core of everything we do. Digital teams at National Grid work in a harmonized partnership with our diverse group of energy businesses to deliver technology that revolutionizes the way we operate. As we lead the charge towards a carbon-free future, our digital teams are introducing best practices from across the tech industry to drive efficiency and bring new capabilities to our internal and external customers. Our work here is critical. National Grid moves energy to millions of homes and businesses in the US and UK and the technology we utilize to complete that task is down to us. You will be an integral contributor towards this goal, and we will support your professional development as part of our diverse, customer-centric, global team. National Grid is hiring a Lead Data Scientist. This role is designated as hybrid, with an expectation of one or two days per month in our offices in either Waltham, MA or Brooklyn, NY. Requirements may vary based on business needs and company policy. Job Purpose As a Lead Data Scientist at National Grid, you will deliver projects across our enterprise. You will work in a dynamic organization to turn data into actionable intelligence. The work you execute will drive real-world impacts for millions of customers, including their safety, the reliability and affordability of their heat and power, and the environmental impacts of the services that National Grid provides them. You will work hands-on and collaborate with a team of data scientists, data engineers, and ML engineers to solve problems across all parts of the business (gas, electric, and customer; US and UK). An ability to work cross-functionally and on agile teams is critical and you should have a strong foundation of: Stakeholder engagement Statistical & probabilistic analyses Programming/software development Visualization and effective presentations

Requirements

A degree in a relevant field and applied data science experience:
Bachelor’s degree and 7+ years of experience
Master’s degree and 5+ years of experience
PhD and 3+ years of experience
Experience leading large-scale data science projects
Demonstrated ability to communicate and interact with business stakeholders
Demonstrated ability to translate technical knowledge into business terms
Fluency in: Data Science tools: statistics, Machine Learning, Generative AI
Python
SQL
Experience with cloud computing in Linux and Windows environments

Nice To Haves

Strong background in full lifecycle of Data Science products & projects
Regulated utility experience, especially electricity and gas utilities
Experience mentoring junior data science professionals
Experience operationalizing Data Science solutions into production
Experience building Data Science solutions using large volume, high-velocity data
Experience building GenAI and LLM tools in a business context
Experience working with Azure cloud computing

Responsibilities

Lead major projects from conception to completion, working with multiple teams of stakeholders directly to understand and address their analytic needs
Collaborate with Data Engineering to identify, extract, and integrate data for disparate sources; prepare and clean data for use in advanced analyses
Employ sophisticated analytics, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations
Develop structured, documented, version-controlled code and work with ML Engineering to productionalize models
Mentor junior Data Scientists
Contribute toward the strategic vision for shaping the Data Science team of tomorrow