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- Tasks: Lead the analysis of energy systems and model network demand data.
- Company: Join Northern Powergrid, powering 8 million lives in the North East and Yorkshire.
- Benefits: Enjoy a competitive salary, double-matched pension, annual bonuses, and 25 days holiday.
- Why this job: Be at the forefront of the energy transition and help shape a greener future.
- Qualifications: Degree in a relevant field; experience in data analytics and energy sector preferred.
- Other info: Agile working arrangements and opportunities for career growth await you!
The predicted salary is between 43200 - 78000 £ per year.
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.
Lead Data Scientist employer: Northern Powergrid
Contact Detail:
Northern Powergrid Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in energy systems and data analytics. Understanding how high-frequency time series data is used in the energy sector will give you an edge during discussions and interviews.
✨Tip Number 2
Showcase your hands-on experience with cloud platforms like MongoDB, Databricks, or Azure. Be prepared to discuss specific projects where you've implemented these technologies to solve real-world problems.
✨Tip Number 3
Highlight your ability to work independently and as part of a team. Share examples of how you've motivated yourself and others to achieve high standards in previous roles, especially in data-driven projects.
✨Tip Number 4
Prepare to discuss your approach to data governance and ethics. Being customer-centric in your data management practices is crucial, so think of ways you've ensured privacy and best practices in your past work.
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Lead Data Scientist position. Understand the key responsibilities and required competencies, especially those related to data analytics and energy systems.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, particularly with high frequency time-series datasets and machine learning models. Emphasize any experience you have in the energy sector or with decarbonisation efforts.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the energy sector and your ability to contribute to Northern Powergrid's goals. Mention specific projects or experiences that demonstrate your advanced data and analytics skills.
Highlight Communication Skills: Since strong written and spoken communication skills are essential for this role, ensure that your application reflects your ability to communicate complex ideas clearly and persuasively. Use examples from past experiences where you successfully conveyed technical information.
How to prepare for a job interview at Northern Powergrid
✨Showcase Your Data Skills
Be prepared to discuss your experience with high frequency time-series datasets and machine learning models. Highlight specific projects where you successfully analyzed complex datasets and generated insights.
✨Demonstrate Strategic Thinking
Discuss how you've contributed to data analytics strategy development in previous roles. Be ready to explain how you can guide the implementation of analytic platforms and support project teams with integrating disparate data sets.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining technical concepts in a clear and engaging manner, as you may need to present your findings to non-technical stakeholders.
✨Exhibit a Customer-Centric Approach
Emphasize your understanding of customer needs and how data management practices can enhance customer experiences. Share examples of how you've ensured privacy, governance, and ethics in your data analysis work.
