Project Manager III

ComTec Information Systems (IT)

Waltham (MA)

On-site

USD 150,000 - 210,000

Full time

10 days ago

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Job summary

National Grid is seeking a Data Science Technical Project Lead to drive 2–3 complex data science initiatives from inception to delivery. You will coordinate cross-functional teams, ensure actionable insights, and manage stakeholders across the organization.

The role requires strong project and change management skills, plus fluency in AI/ML, GenAI, and cloud platforms. Collaboration with both internal teams and external consultants is essential.

Qualifications

  • Experience leading multiple data science projects end-to-end.
  • Expertise in project and change management, plus stakeholder handling.
  • Fluency with AI/ML tools and GenAI/Agentic AI concepts.

Responsibilities

  • Fully own and lead the delivery of 2–3 data science projects concurrently.
  • Define project direction, scope, timelines, and deliverables with stakeholders.
  • Ensure insights delivered are actionable and impactful.
  • Collaborate with technical and non-technical teams across National Grid and externally.
  • Staff project pods with internal data scientists and external contractors.
  • Contribute hands-on in Python when projects require it.

Skills

Project management
Change management
Stakeholder management
Cross-functional collaboration
Visualization
AI/ML fluency
GenAI
Agentic AI
Agile frameworks

Education

Master's degree in quantitative discipline
Bachelor's degree in progress or completed

Tools

Python
Azure
PowerBI
ArcGIS
GitHub

Job description

Must have Data Science, AI, Project Management As a Data Science Technical Project Lead at National Grid, you lead the delivery of multiple simultaneous projects from beginning to end. You will work in a dynamic organization to turn data into actionable intelligence. The variety and complexity of challenges you will solve is second to none, but most important is the real world impact your work will have on the lives of millions of people.

About the Position: National Grid s Data Science teams provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from the simple to the advanced. An ability to work cross-functionally and on agile teams is critical. In addition to broad technical knowledge, you need to have exemplary expertise in project management, change management, and stakeholder management.

You Should Have a Strong Knowledge Of
  • Project management and change management frameworks
  • Effective visualization and presentation
  • Statistical & probabilistic analyses
  • Machine learning methodologies, including GenAI
Programming/software development Position responsibilities (including but not limited to):
  • Fully own and lead the delivery of 2-3 data science projects concurrently
  • Define the project s direction, scope, timelines, and deliverables in close collaboration with business stakeholders
  • Ensure that the insights delivered are actionable
  • Collaborate and liaise with technical and non-technical teams across all of National Grid and, occasionally, externally
  • Staff project pods with a combination of internal National Grid data scientists and external contractors/consultants
  • When projects require be able to contribute hands to the keyboard (Python)
  • Be intellectually curious and enjoy learning Requirements:
Requirements:
  • Exceptional project management, change management, and stakeholder management skills
  • Fluency in AI/ML tools and techniques, including GenAI/Agentic AI
  • Experience with cloud computing (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:
  • Energy or utility experience
  • Active GitHub repository and stack overflow account
  • Data Science competition entries (Kaggle, kdnuggets, etc.)
  • GIS knowledge (ArcGIS is a plus)
  • Interactive visualization tools (PowerBI is a plus)
  • Knowledge of Agile frameworks
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