Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist, Data Science
Syracuse, NY, US, 13202
Live, first seen by us 22 days ago- Pay
Multiple pay statements — pay source
#LI-STR1 Upstate NY Salary: $119,000 - $139,000 a year MA Salary: $133,000 - $156,000 a year
Upstate NY Salary: $119,000 - $139,000 a year MA Salary: $133,000 - $156,000 a year Downstate NY Salary: $142,000 - $167,000 a year
MA Salary: $133,000 - $156,000 a year Downstate NY Salary: $142,000 - $167,000 a year National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
National Grid will not be providing visa sponsorship for this position now or in the future
What you’ll work on
Full postingDesign and implement ETL/ELT processes from databases, APIs and FTPs
Develop and maintain the LFA cloud platform, database architecture and orchestration jobs
Automate manual procedures and optimize data delivery for forecasters
Assist with data products that support forecasts meeting regulatory requirements
Help forecasters and stakeholders resolve data-related technical issues
From the employer’s posting
Design and implement ETL/ELT processes to collect, transform, and store data from various data sources (databases, APIs, FTPs)
Develop, manage, and maintain the LFA technology platform, which includes cloud computing assets, database architecture, stored procedures and orchestration jobs, and reporting
Drive the process to automate manual procedures and optimize data delivery for forecasters and end users
Assist with research, implementation, and delivery of data products that directly support forecast development which meets regulatory requirements
Work with forecasters and stakeholders to assist with data-related technical issues and to support their ongoing data and technology needs
What you’ll bring
All qualificationsCore experience
- Relevant experience includes data science, data engineering, data analytics.
- Master’s degree in quantitative field + 2 years of relevant experience,
- Bachelor’s degree in quantitative field + 3 years of relevant experience,
- Experience working with relational databases and cloud data warehouses including data modelling and performance optimization.
- Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.)
- Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes
Preferred experience
- Experience with Airflow and dbt preferred
Qualification wording
Quantitative fields include computer science, data science, statistics, mathematics, engineering, information systems, or closely related disciplines. Relevant experience includes data science, data engineering, data analytics. Education and professional experience meeting one of the following:
Master’s degree in quantitative field + 2 years of relevant experience,
Bachelor’s degree in quantitative field + 3 years of relevant experience,
Experience working with relational databases and cloud data warehouses including data modelling and performance optimization. Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.)
Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes
Knowledge in developing, maintaining, and orchestrating data pipelines, including data ingestion and transformation. Experience with Airflow and dbt preferred
Education & alternatives
Quantitative fields include computer science, data science, statistics, mathematics, engineering, information systems, or closely related disciplines. Relevant experience includes data science, data engineering, data analytics. Education and professional experience meeting one of the following: - Master’s degree in quantitative field + 2 years of relevant experience, - Bachelor’s degree in quantitative field + 3 years of relevant experience,
- Master’s degree in quantitative field + 2 years of relevant experience, - Bachelor’s degree in quantitative field + 3 years of relevant experience, - or Bachelor’s degree in non-quantitative field + 5 years of relevant experience
- Bachelor’s degree in quantitative field + 3 years of relevant experience, - or Bachelor’s degree in non-quantitative field + 5 years of relevant experience - Experience working with relational databases and cloud data warehouses including data modelling and performance optimization. Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.)
About National Grid UK
Every day we deliver safe and secure energy to homes, communities, and businesses.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 13, 202622 days ago
- Recorded sightings
- 88
- Last seen by us
- Nov 5, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 22
Similar jobs usually come down between day 7 and day 56.
At National Grid UK, jobs usually come down by about day 14.
From 10,195 similar postings that came down, and 50 of National Grid UK’s. Coming down is not always a hire.
National Grid UK is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 14% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Bash
- Python
- SQL
- Azure
- dbt
- Oracle
- PostgreSQL
- Snowflake
- Terraform
- Airflow
Where the posting names them
- Exposure to modern data platforms and development practices including version control, automated deployments, and CI/CD workflows. Git, Azure, Terraform, GitHub Actions experience preferred - Experience working in a Hybrid-Cloud environment, including deploying, managing, and connecting cloud-based services. Experience in Linux and bash are helpful. - Proficiency in integrating, cleaning, and transforming data from disparate sources into reliable customer facing datasets
Key Accountabilities - Design and implement ETL/ELT processes to collect, transform, and store data from various data sources (databases, APIs, FTPs) using a range of technologies depending upon the use case (Azure, SQL, Python) - Assemble small and large individual data sets that meet internal business requirements and are within the overall LFA technology platform
- Experience working with relational databases and cloud data warehouses including data modelling and performance optimization. Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.) - Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes - Knowledge in developing, maintaining, and orchestrating data pipelines, including data ingestion and transformation. Experience with Airflow and dbt preferred
- or Bachelor’s degree in non-quantitative field + 5 years of relevant experience - Experience working with relational databases and cloud data warehouses including data modelling and performance optimization. Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.) - Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes
- Knowledge in developing, maintaining, and orchestrating data pipelines, including data ingestion and transformation. Experience with Airflow and dbt preferred - Exposure to modern data platforms and development practices including version control, automated deployments, and CI/CD workflows. Git, Azure, Terraform, GitHub Actions experience preferred - Experience working in a Hybrid-Cloud environment, including deploying, managing, and connecting cloud-based services. Experience in Linux and bash are helpful.
- Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes - Knowledge in developing, maintaining, and orchestrating data pipelines, including data ingestion and transformation. Experience with Airflow and dbt preferred - Exposure to modern data platforms and development practices including version control, automated deployments, and CI/CD workflows. Git, Azure, Terraform, GitHub Actions experience preferred
Your next step
Complete your application on jobs-ats.nationalgrid.com. The employer’s form will show what is required.
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Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About us
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.
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.
National Grid is hiring a Senior Data Scientist, Data Management & Analytics – Load Forecasting & Analytics. This position can be based out of Waltham, MA; Hicksville, NY; Brooklyn, NY; or Syracuse, NY.
Job Purpose
The Load Forecasting & Analytics (LFA) team produces electric and gas load forecasts for National Grid. As a Senior Data Scientist in the Data Management & Analytics (DMA) team within LFA, you will support the development, presentation, and regulatory defense of the long- and short-term electric and gas load forecasts.
Responsibilities include data pipeline development and maintenance; cloud data platform management; data science enablement and automation; and collaboration with technical and business stakeholders.
Key Accountabilities
- Design and implement ETL/ELT processes to collect, transform, and store data from various data sources (databases, APIs, FTPs) using a range of technologies depending upon the use case (Azure, SQL, Python)
- Assemble small and large individual data sets that meet internal business requirements and are within the overall LFA technology platform
- Develop, manage, and maintain the LFA technology platform, which includes cloud computing assets, database architecture, stored procedures and orchestration jobs, and reporting
- Drive the process to automate manual procedures and optimize data delivery for forecasters and end users
- Assist with research, implementation, and delivery of data products that directly support forecast development which meets regulatory requirements such as the Massachusetts Electric Sector Modernization Plan, the New York Climate Plan, and Distributed System Implementation Plan
- Work with forecasters and stakeholders to assist with data-related technical issues and to support their ongoing data and technology needs
Qualifications
Quantitative fields include computer science, data science, statistics, mathematics, engineering, information systems, or closely related disciplines. Relevant experience includes data science, data engineering, data analytics. Education and professional experience meeting one of the following:
- Master’s degree in quantitative field + 2 years of relevant experience,
- Bachelor’s degree in quantitative field + 3 years of relevant experience,
- or Bachelor’s degree in non-quantitative field + 5 years of relevant experience
- Experience working with relational databases and cloud data warehouses including data modelling and performance optimization. Experience with Snowflake preferred, but relevant experience with other tools helpful (SQL, Oracle, PostgreSQL,etc.)
- Strong proficiency in SQL and Python including developing data transformations, analytical workflows, and automated processes
- Knowledge in developing, maintaining, and orchestrating data pipelines, including data ingestion and transformation. Experience with Airflow and dbt preferred
- Exposure to modern data platforms and development practices including version control, automated deployments, and CI/CD workflows. Git, Azure, Terraform, GitHub Actions experience preferred
- Experience working in a Hybrid-Cloud environment, including deploying, managing, and connecting cloud-based services. Experience in Linux and bash are helpful.
- Proficiency in integrating, cleaning, and transforming data from disparate sources into reliable customer facing datasets
- Excellent communication skills including the ability to explain technical concepts and analytics findings to non-technical stakeholders
- Ability to design and develop scalable, reusable, and maintainable data solutions supporting multiple projects and multiple stakeholders
- Relevant energy industry experience or experience in a regulated setting preferred
More Information
#LI-Hybrid
#LI-STR1
Upstate NY Salary: $119,000 - $139,000 a year
MA Salary: $133,000 - $156,000 a year
Downstate NY Salary: $142,000 - $167,000 a year
National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
#LI-STR1 Upstate NY Salary: $119,000 - $139,000 a year MA Salary: $133,000 - $156,000 a year
More source context
Upstate NY Salary: $119,000 - $139,000 a year MA Salary: $133,000 - $156,000 a year Downstate NY Salary: $142,000 - $167,000 a year
More relevant text appears in the full description.
- Location & working pattern
Syracuse, NY, US, 13202
- Exposure to modern data platforms and development practices including version control, automated deployments, and CI/CD workflows. Git, Azure, Terraform, GitHub Actions experience preferred - Experience working in a Hybrid-Cloud environment, including deploying, managing, and connecting cloud-based services. Experience in Linux and bash are helpful. - Proficiency in integrating, cleaning, and transforming data from disparate sources into reliable customer facing datasets
More source context
More Information #LI-Hybrid #LI-STR1
- Work authorization
Downstate NY Salary: $142,000 - $167,000 a year National Grid will not be providing visa sponsorship for this position now or in the future. You must have the ability to work without a need for current or future visa sponsorship. 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.