Forecasting and Analytics Specialist

3 weeks ago


London, Greater London, United Kingdom Lane Clark & Peacock LLP. Full time
About the Role

We are looking for a skilled Data Scientist to join our fast-growing team and contribute to our mid-term strategy of deploying technology across all our offerings. The successful candidate will have existing energy market forecasting experience and be able to lead the way on developing our new data science forecasts.

This is an exciting opportunity to work with our in-house databases and leverage your skills in Python to drive business growth and improvement.

Key Responsibilities
  • Develop and maintain data science applications using our in-house databases.
  • Collaborate with our energy full-stack developers and consultants to ensure seamless integration.
  • Stay up-to-date with developments in machine learning and data science techniques.
Requirements
  • Strong knowledge of Python and experience working with various machine learning models.
  • At least 4 years of experience in the energy industry, with a focus on short-term power market forecasting.
  • Desirable skills include GitHub or Azure DevOps knowledge, SQL expertise, and excellent communication skills.
Benefits
  • An estimated annual salary of £70,000 - £90,000 depending on experience.
  • A competitive benefits package, including hybrid working, professional study support, and access to internal wellbeing networks.


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