Lead Data Scientist

Northern Powegrid
North East
1 week ago
Applications closed

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Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist- Up to £65,000 DOE + Bonus & Benefits - Castleford, West Yorkshire or Shiremoor, Tyne and Wear


The Role

Are you an experienced data expert with strong analytical skills? Do you have what it takes to turn complex datasets into valuable insights that shape business decisions? If so, we have an exciting opportunity for you.

We are looking for a Lead Data Scientist to join our System Forecasting team. In this role, you will analyse network data and customer trends to improve our operations and network planning.

If you're ready to make a real impact in a fast-changing industry, we'd love to hear from you. Apply now to join our team and help shape the future of energy systems.


Key Responsibilities:

  1. Provide technical oversight, support and strategic direction for the governance and analysis of energy systems monitoring and statistically modelled network demand data, including high frequency time series data.
  2. Guide the implementation of the strategic analytic platform, informing development and deployment of workflow tools and apps (MongoDB / Databricks / Azure).
  3. Provide Subject Matter Expertise for data analytics strategy development and on matters relating to the application of DSO data sets, supporting project teams requiring integration of multiple disparate data sets which need to be brought together to provide useful insights.
  4. Deliver change and inform IT investment decisions so that they meet business needs.


The Company

At Northern Powergrid, we power 3.9 million homes and businesses across the North East, Yorkshire, and northern Lincolnshire. Our Power of 10 approach ensures we work as one team, solving challenges and delivering results for our customers.


The Benefits

  1. Enrolment into our double-matched pension scheme.
  2. Annual bonus of up to 15%.
  3. 25 days holiday plus bank holidays.
  4. Excellent opportunities for career growth.
  5. Agile working arrangements.


The Person

  1. Qualified to degree level in a relevant subject, appropriate professional memberships desirable.
  2. Ability to demonstrate advanced data and analytics skills, able to analyse complex datasets with originality and creativity to generate comprehensive insight.
  3. Hands-on experience of high frequency time-series datasets and deploying machine learning models through analytics platforms in a Cloud environment.
  4. Customer-centric approach to data management and analysis, ensuring privacy by design, governance, ethics and best practice drive decision making.
  5. Strong written and spoken communication skills - clear, concise, engaging and persuasive.
  6. Self-starter with strong work ethic, capable of motivating themselves and others, able to work independently and contribute to team goals, holding high standards for all work output.
  7. Technically curious, willing to develop new IT skills, share knowledge and help others learn.
  8. Ability to manage workload through excellent planning and organising skills with attention to detail.
  9. Good time management skills with the ability to deliver tasks to deadlines.

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