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Data Scientist

Posted 31 March 2020
Salary Up to £75,000 + bonus
LocationLondon
Job type Permanent
Discipline Renewable Energy & InfrastructureEnergy, ESG & Green Tech Finance
ReferenceDS11
Contact NameTom Brookes

Job description

The Green Recruitment Company are assisting a growing Data Science team seek a Data Scientist to help us change the world of energy. If you have a superb track record of using data science and/or machine learning and an interest in building a sustainability-minded Data Science function, then this role could be for you.

 

The Role:

As a Senior Data Scientist, you will be responsible for helping to lead a growing function and the application of analytics, data science and machine learning techniques to industry-leading energy forecasting solutions.

  • The Senior Data Scientist's responsibility is to lead the continuous development of advanced analytics and machine learning capabilities.
  • Designing and managing advanced analytics and data science solutions.
  • For example: continuously improving data science platforms, including for forecasting and real-time analytics.
  • Optimisation of algorithms to operate and manage distributed energy assets (real time).
  • Build, validate and update complex data science models.
  • Manage and test machine learning methods, processes, and techniques.

 

The Individual:

  • Experience of managing data science and analysis within a data-intensive environment. (energy, tech, finance desirable).
  • Strong problem-understanding and problem-solving skills.
  • Demonstrated ability to work with large volumes of data.
  • Excellent understanding and ongoing learning of Data Science and Machine Learning frameworks, tools and algorithms, both for regression and classification problems (Python highly desirable).
  • Bachelor education, or equivalent, in AI, Machine Leaning, Data Science, or Quantitative subject.

Further Desirable Skills:

  • Experience of developing or supporting forecasting systems in electricity sector.
  • Experience working with time-series data (real time)
  • ‘On-the-fly’ augmentation experience
  • Post-grad education (PhD/MSc)
  • Top Data Science credentials (such as Kaggle Masters)