Graduate Development Program, Associate Machine Learning Engineer, Data Science

At National Grid, we’re Superpowered

The world of energy is changing faster than ever. At National Grid, we keep people connected and society moving. But it’s so much more than that. We’re dreamers, big-thinkers, innovators and builders. We’re shaping the current, to change the future. We know that a clean, fair, and affordable energy future is in our hands. So we explore with energy, with innovation and technology powering our progress, and helping us to find a better way to deliver energy to all National Grid supplies us with the environment to make it happen – inspiring us, giving us time to recharge and providing a safety net on tougher days. But it’s our people that provide our true superpower. They drive and sustain our growth, their unique differences only making us stronger. So join us, and power the future of energy. Find what makes you Superpowered. 

Find your superpower with the Graduate Development Program  

National Grid’s Graduate Development Program (GDP) is an in-depth training and development program for high achieving recent college graduates who aspire to take on future leadership roles in a dynamic, ever-changing industry. Graduates will shape the future of National Grid. Bringing fresh thinking, new perspectives, and exploring with energy, we’ll give you real responsibility and an opportunity to move with purpose from day one – putting the power to supercharge your career in your hands.  

 

Graduates start their careers at National Grid with an in-depth 4-week in-person Orientation which gives you exposure to all parts of the company, allows you to network with your Graduate cohort, GDP alumni, and senior leaders, and provides you with the opportunity to travel throughout our service territory in the northeast US. Following Orientation, Graduates begin working in their hired position and take part ongoing development activities through your first year including quarterly development sessions, active mentorship, and a Capstone Project at the completion of your first year with National Grid.  

Information Technology and Digital Graduate Rotations

In Digital, we’re working at the heart of change and harnessing the power of technology to build a cleaner, fairer, and more affordable future for all. Innovation is providing our edge in finding a better way, for everyone. And as we generate momentum in the energy transition for all, we don’t plan on leaving any of our customers in the dark. But we're not looking for external recognition — we already know what we do is vital. In fact, we like to think of ourselves as a band of unsung heroes. Our IT Graduate Development Rotational Program will provide you with the opportunity to be at heart of this transformation. The program consists of an 18-month exploration consisting of three 6-month rotations in varying IT & Digital departments. Your first rotation will be in the role outlined below and you will return to this role following two broadening 6-month rotations where you will solve complex problems and focus on growth that will transform the energy sector as we know it. So join us, and bring energy to life. 

About the Position

As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and standup the necessary infrastructure in Azure.

 

This is a hybrid role with 1 day per week in the Waltham, MA office. You must reside within our existing footprint, which includes contiguous states (New Jersey, Pennsylvania, Connecticut, New Hampshire, Maine, Rhode Island, and Vermont). A hybrid worker should also reside within a reasonable, commutable distance to their assigned primary office.

What You’ll Do

• Work with data scientists to understand their data needs and put together data pipelines to ingest data.
• Work with data scientists to take data science model prototypes to production.
• Enhance and improve the code deployment and model monitoring frameworks and project operations documentation.
• Design, provision and maintain the cloud infrastructure needed to support Data Engineering, Data Science, Machine Learning Engineers, and Machine Learning Operations.
• Write high quality code that has high test coverage.
• Participate in code reviews to help improve code quality.
• Work closely with IT to stay up-to-date on upcoming changes to National Grid's infrastructure.
• Technologies/Tools we use: Python, SQL, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs.

What You’ll Need

• Bachelor’s degr