Data Scientist, Data Science

About us

National Grid is hiring a Data Scientist, Data Science department in Brooklyn, Melville, and Syracuse NY.

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. The pace of change in society and our industry is accelerating, and our expertise and track record puts us in an unparalleled position to shape the sustainable future of our industry.

Job Purpose

The Data Scientist develops and delivers advanced analytics, machine learning, and automation solutions to improve operational performance and business decision-making. This role partners closely with cross-functional teams to translate complex data into actionable insights, enabling more efficient, scalable, and data-driven processes.

Key Accountabilities

• Develop, deploy, and maintain machine learning models to solve business and operational problems.
• Analyze large, complex datasets to identify trends, insights, and opportunities for improvement.
• Work with Snowflake and enterprise data platforms to source, transform, and manage data.
• Build and maintain dashboards and reporting solutions (e.g., Power BI) to operationalize insights.
• Partner with cross-functional stakeholders to define problems, align on priorities, and deliver data-driven solutions.
• Translate business processes into scalable analytics solutions (e.g., forecasting, workforce planning, productivity tracking).
• Support end-to-end delivery of analytics initiatives, including requirements, development, testing, and deployment.
• Identify and implement process improvements and automation to replace manual workflows and improve efficiency.
• Quantify and communicate business impact, including efficiency gains, cost reduction, and productivity improvements.
• Explore and apply emerging technologies (e.g., AI, automation) to enhance analytics capabilities and outcomes.

Qualifications

• 1–2 years of experience developing predictive models and working with data science techniques.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field preferred.
• Proficiency in Python and SQL.
• Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with data visualization tools such as Power BI or Tableau.
• Experience working with Snowflake or similar cloud data platforms and large datasets.
• Familiarity with forecasting, optimization, or predictive modeling in business contexts.
• Understanding of data quality, validation, and governance principles.

More Information

Salary

Syracuse, NY $92,000 - $108,000

Brooklyn & Melville, NY $111,000 - $130,000 a year

National Grid utilizes an assessment that evaluates the job qualifications/characteristics using AI or statistically based scoring. For more information, please view NYC Local Law 144.

This position has a 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. Candidates will be assessed and provided offers against the minimum qualifications of this role and their individual experience.

National Grid is committed to providing equal employment opportunities to all employees and applicants for employment regardless of protected class.

We do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, or any other protected status in accordance with applicable federal, state, and local laws. National Grid maintains affirmative action programs for individuals with disabilities and protected veterans.

Our employment practices are designed to ensure that all individuals are treated fairly and with respect throughout the hiring process and during employment. National Grid complies with all applicable federal, state, and local anti-discrimination laws. We are dedicated to fostering a workplace that is free from unlawful discrimination and harassment, and we encourage a culture of respect for all.