Lead Data Scientist
About The Position
National Grid is hiring a Lead Data Scientist (hybrid) in the following preferred locations: Brooklyn NY, Hicksville NY, Syracuse NY or Waltham MA. Every day, we deliver safe, reliable energy to homes, communities, and businesses. As our industry evolves, we’re focused on meeting customer needs today while building more flexible, sustainable energy systems for tomorrow. To be successful, we must anticipate the needs of our customers, reducing the cost of energy delivery today and pioneering the flexible energy systems of tomorrow. This requires us to deliver on our promises and always look for new opportunities to grow, both ourselves and our business. Job Purpose The Customer Performance Lab supports the Customer organization by delivering cross‑channel and cross‑departmental insights that improve how customers move through our processes. We analyze operational, digital, and field interactions end‑to‑end to strengthen the customer journey and identify opportunities for continuous improvement across multiple portfolios. The successful candidate will leverage strong data processing, advanced SQL skills (including writing and optimizing stored procedures), requirements‑gathering capabilities, and analytical expertise to develop reporting, perform multi‑channel analysis, validate datasets, and build Power BI dashboards. This role collaborates closely with business stakeholders, IT partners, and other data teams to translate complex customer‑journey data into actionable insights and support key initiatives across Customer organization.
Requirements
- Advanced Degree in Analytics, Data Science, Economics, Statistics, Mathematics, Computer Science, or related field
- 7+ years of experience in data analysis, data modeling, and working with large datasets or related experience
- Advanced SQL skills (including complex joins, window functions, stored procedures); proficiency in Python for data processing
- Strong experience building Power BI dashboards and connecting cross‑channel datasets
- Ability to conduct cross‑departmental analysis and translate business requirements into data solutions
Nice To Haves
- Experience with statistical methods or machine learning is a plus (not required)
- Utility industry experience strongly preferred
Responsibilities
- Develop, test, evaluate, tune, and deploy predictive and machine learning models
- Coordinate end to end algorithm/model development efforts among advanced analytics team members
- Advise senior leadership about the conclusions drawn from data science projects
- Educate team members and IT organization and business users about data science and approaches
- Work with data engineers to acquire, extract, transform, manage and manipulate data sets for specific use cases
- Create clear documentation of workflows, process flows, and methodologies used
- Agile delivery of data collection and analytics
- Gather requirements and documentation of the requirement specification / Power BI report development for data visualization
- Analytical, Investigative reasoning and problem-solving skills.
Benefits
- career path which provides for advancement opportunities within and across bands as you develop and evolve in the position; gaining experience, expertise and acquiring and applying technical skills
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
101-250 employees
