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Lead Data Scientist

DG Partnership Ltd
Posted a day ago, valid for 19 days
Location

Castleford, West Yorkshire WF102JA, England

Contract type

Full Time

Retirement Plan

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The Lead Data Scientist position offers a salary of up to £65,000 depending on experience, along with a bonus and benefits package.
  • Candidates should possess strong analytical skills and have a proven track record in analyzing complex datasets to provide valuable insights.
  • The role requires hands-on experience with high-frequency time series datasets and deploying machine learning models in a cloud environment.
  • A degree in a relevant subject is required, along with a customer-centric approach to data management and analysis.
  • Applicants should have excellent communication skills and the ability to work independently while contributing to team goals.

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:

  • 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.

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

  • 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.

The Person

  • Qualified to degree level in a relevant subject, appropriate professional memberships desirable.
  • 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.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.