Lead Data Scientist
Location: Newcastle or Castleford
Directorate: Energy Systems
Job Ref No: R7006
Do you have what it takes to play a key role in shaping the electricity distribution network of the future and be at the heart of achieving net zero?
We are Northern Powergrid, and we are responsible for powering everyday life for 8 million people across the North East, Yorkshire and northern Lincolnshire. We are a diverse team, creating a smarter, more flexible electricity distribution network that will enable our region to decarbonise and meet the needs of our customers now, and in the future.
Distribution System Operation (DSO) involves us delivering an increasingly smart and flexible energy system for our customers that delivers a greener grid, with maximum resilience at minimal overall cost.
This is an exciting opportunity at a time of significant and fascinating change within the energy sector. As a Lead Data Scientist, you will be part of the System Forecasting team involved with understanding our network and future customer needs; informing and enabling more efficient operations and network planning.
What will you do?
* 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
* Guide the implementation of the strategic analytic platform, informing development and deployment of workflow tools and apps (MongoDB / Databricks / Azure)
* 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
* Deliver change and inform IT investment decisions so that they meet business needs
What’s the package?
Along with a competitive salary of up to £65k (dependent on experience), we also offer great benefits such as:
* Enrolment into our double-matched pension scheme
* Annual bonus of up to 15%
* 25 days holiday plus bank holidays
* Excellent opportunities for career growth
* Agile working arrangements
Key Competencies
* Ability to demonstrate advanced data and analytics skills, able to analyse complex datasets with originality and creativity to generate comprehensive insight
* Hands-on experience of high frequency time-series datasets and deploying machine learning models through analytics platforms in a Cloud environment
* Customer-centric approach to data management and analysis, ensuring privacy by design, governance, ethics and best practice drive decision making
* Strong written and spoken communication skills – clear, concise, engaging and persuasive
* 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
* Technically curious, willing to develop new IT skills, share knowledge and help others learn
* Ability to manage workload through excellent planning and organising skills with attention to detail. Good time management skills with the ability to deliver tasks to deadlines
What qualifications and experience should you have?
* Qualified to degree level in a relevant subject, appropriate professional memberships desirable
* Exposure to project management and strategy development, appreciation of Big Data concepts
* Experience of applying data and analytics within the energy sector and knowledge of the decarbonisation energy transition preferable, but not essential
What next?
Key dates:
Closing date for applications: 30 January 2025
Interviews: Hold the date - week commencing 10-17 February 2025
If we identify that your skills and experience could be suitable for any other roles that we are currently recruiting for, we will put you forward for these opportunities too.
Visit northernpowergrid.com/careers to find out more about this and other career opportunities.
Applicants are considered on the basis of their suitability for the post irrespective of sex, marital status, sexual orientation, gender re-assignment, race, age or disability, in accordance with the Equality Act 2010.