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natgridProd

Data Science Manager

London
£78k – £91k/yr
Posted 2 months ago
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About us

At National Grid, we keep people connected and society moving. But it’s so much more than that. National Grid provides the environment, support, and purpose that enable us to make real impact. As we drive momentum in the energy transition for all, we’re committed to ensuring none of our customers are left in the dark.

So, join us as a Data Science Manager in our Data Science team, and find your superpower.

National Grid is hiring a Data Science Manager to lead and develop our Data Science team. This role is based at either our London or Warwick office, with hybrid working. You’ll play a key role in shaping and delivering advanced data science solutions that support critical operations across our enterprise, driving innovation, scalability, and meaningful insights.

About The Role

As a Data Science Manager at National Grid, you’ll lead a high performing team while staying hands on — delivering impactful projects, building AI models, coding, and turning data into clear, actionable insights. You’ll work in a fast paced, collaborative environment where the challenges are varied, the problems are complex, and the work directly supports the energy transition and the millions of people who rely on us every day.

Our Data Science teams transform diverse data sources into meaningful intelligence that drives decision making across the organisation. Success in this role means working cross functionally, thriving in agile teams, and bringing strong skills in:

• Statistical and probabilistic analysis • Programming and software development • Data visualisation and clear communication

If you’re motivated by meaningful impact and enjoy solving complex problems with data, this role offers the opportunity to lead, innovate, and make a real difference.

What You'll Do

  • Lead and inspire a team of talented Data Scientists, helping them grow their skills while driving high impact work across the organisation.
  • Build advanced analytics and AI solutions using machine learning, statistical modelling, forecasting, and simulation techniques to solve complex, real world challenges.
  • Unlock the power of data by bringing together information from multiple sources and formats, creating robust datasets that fuel insight and innovation.
  • Drive and deliver projects that span the entire enterprise — collaborating across the UK and US, and partnering with teams in Gas, Electric, and all major support functions.
  • Stay curious and keep pushing boundaries — we’re constantly exploring new ideas, new technologies, and new ways to shape the future of energy through data.

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Why you're a good match

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About You

  • Demonstrable experience in Data Science, ideally with exposure to the utility or energy sector.
  • Proven ability to lead, mentor, and develop Data Scientists, guiding teams to deliver high quality, impactful work.
  • Strong communication and stakeholder engagement skills, able to work effectively with end users, peers, and senior leaders.
  • A knack for making the complex simple, translating technical concepts into clear business insights and recommendations.
  • Fluency in Data Science techniques across statistics, machine learning, and GenAI.
  • Strong programming skills in Python and SQL, with the ability to build reliable, scalable solutions.
  • Experience working in cloud environments on Linux and/or Windows platforms (Azure experience is a plus)
  • A strong track record delivering the full lifecycle of Data Science products and projects.
  • Experience working within regulated utility environments.
  • Experimental design experience and a hypothesis driven mindset.
  • Familiarity with interactive visualisation tools (Power BI a plus).
  • Knowledge of GIS tools, such as ArcGIS

What You'll Get

  • Competitive Salary: £78,000 – £91,000 per annum (based on capability, and experience)
  • Annual performance incentive of up to 30% of eligible earnings

Additional benefits:

  • A competitive contributory pension scheme where we will double match your contribution to a maximum company contribution of 12%
  • You will receive a bonus based on personal and company performance
  • Flexible benefits such as a cycle scheme, share incentive plan, technology schemes
  • Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness
  • Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare

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More information

  • This role is offered on a full time basis.
  • We are also offering hybrid/flexible working. Base location for this role will be either London or Warwick.
  • This role closes on 8th September however we strongly encourage candidates to submit their application as early as possible.

Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.

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Diversity, Equity and Inclusion

National Grid is an equal opportunity employer that values a broad diversity of talent, knowledge, experience and expertise. We foster a culture of inclusion that drives employee engagement to deliver superior performance to the communities we serve. National Grid is proud to be an affirmative action employer. We encourage minorities, women, individuals with disabilities and protected veterans to join the National Grid team.

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Skills

Data science
Team leadership
Machine learning
Statistical analysis
Python
SQL
Artificial intelligence
Data visualization
Stakeholder engagement
Cloud computing
Azure
GenAI
Forecasting
Simulation techniques
GIS
ArcGIS

Location

London, England, United Kingdom

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