National Grid
AI

Data Scientist

National Grid · Bristol, ENG, GB · $82k

Actively hiring Posted 5 months ago

Role overview

Reporting to the Lead Data Scientist, the Data Scientist will be responsible fordeveloping, implementing, and optimising machine learning and advanced analyticssolutions to support decision-making across NGED. This role involves collaborating withdata engineers, insight analysts, and key stakeholders to extract value from data,ensuring that AI and predictive models align with business goals and operationalneeds.

The Data Scientist will apply statistical and machine learning techniques to develophigh-quality models, automate data-driven processes, and provide actionable insights.They will work within cloud environments and utilise modern MLOps practices tostreamline model deployment, monitoring, and continuous improvement.

This role also contributes to the organisation's data science strategy, ensuring ethicalAI principles, best practices in model governance, and a data-driven culture areembedded across the business.

Responsibilities

  • Develop and deploy machine learning models and AI solutions that addressbusiness challenges and improve operational efficiencies.
  • Collaborate with data engineers and insight analysts to build scalable datapipelines and integrate models into production environments.
  • Apply statistical analysis, predictive modelling, and optimisation techniques tostructured and unstructured data.
  • Implement MLOps best practices, ensuring automated model training,versioning, monitoring, and governance. Support the development of NGED’s AI strategy, contributing to ethical AI andresponsible machine learning adoption.
  • Conduct exploratory data analysis (EDA) to understand datasets, identify trends,and derive business insights.
  • Work closely with stakeholders to translate business needs into data science usecases and recommend appropriate methodologies.
  • Optimise and validate machine learning models, ensuring robustness, scalability,and explainability.
  • Contribute to research and innovation within data science, exploring newmethodologies and staying updated with industry advancements.
  • Assist in the creation and maintenance of technical documentation, ensuringtransparency in data science processes and decisions.
  • Participate in Agile development processes, contributing to iterative modeldevelopment, feedback loops, and cross-functional collaboration.
  • Ensure compliance with data privacy, security, and regulatory requirementswhen handling sensitive data.
  • Share best practices and fostering a collaborative, learning-driven teamenvironment.

About the company

At National Grid, we keep people connected and society moving. But it’s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don’t plan on leaving any of our customers in the dark. So, join us as a Data Scientist and find your superpower.

National Grid is hiring a Data Scientist for our Electricity Distribution (NGED) team. This role is designated as hybrid, with an expectation of one or two days per month in one of our offices. Requirements may vary based on business needs and company policy.

Tags & focus areas

Used for matching and alerts on DevFound
Ai Machine Learning Data Science Data Engineer
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.