Graduate Development Program, Associate Quantitative Analyst, 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 a year-long development program for 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 3-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, you’ll begin working in full-time position outlined below and take part in ongoing development activities including quarterly development sessions, active mentorship, and a Hackathon Project. 

Information Technology and Digital Graduate Rotations

Graduates in our IT & Digital team will take part in an 18-month exploration. Your first 6-months will be in the role outlined below and you will return to this role following two broadening 6-month placements (in closely related fields such as ML Engineering, Data Engineering etc.) designed to provide you a breadth of experience within your functional area and accelerate your progression at National Grid. These placements will provide you with the opportunity to solve complex problems and focus on growth that will transform the energy sector as we know it. 

About the Position

As a member of the National Grid Data Science team, you will provide insights and conclusions from multiple sources of information in a variety of different formats using analysis techniques that range from simple to advanced. 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. You would work cross-functionally and on Agile teams, and you would be applying your broad knowledge of:

• Statistical & Probabilistic Analyses
• Artificial Intelligence
• Data Engineering
• Programming/Software Development
• Effective Visualization and Presentation

 

What You'll Do

• Assist with work on major projects from conception to completion, working with multiple teams of stakeholders directly to understand and address their analytic needs.
• Identify, extract, and integrate data sets ranging in size from spreadsheets to big data; prepare and clean data for use in advanced analysis
• Employ sophisticated analytics programs, machine learning, and statistical methods for predictive and prescriptive modeling, forecasting, and simulations
• Contributes to the development of structured, documented, version-controlled code that enables automation and post-roll out customer self-service

What You'll Need

• Bachelor’s or Master’s in Data Science, Statistics, Economics or related numerative degree from an accredited institution    

• Proficient technical skills in Python programming language

• Graduated betwee