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Data Scientist and Machine Learning Expert

2 months ago

London, Greater London, United Kingdom Mint Selection Full time
Data Scientist - Energy Forecasting

Location: London

Introduction:
Mint Selection is a trusted Clean Energy Recruitment Specialist with an extensive network and deep sector knowledge. We support our clients and candidates through the full life cycle of Energy project development, build, finance, and operations.

About the Role:
Data Science is a foundational block to everything this company does. The data and analytics team research, develop and deploy Machine Learning models, novel algorithms and energy forecasts to optimise renewable assets, optimise power market participation and support project financing and revenue projections.

  • Extract and analyse large complex datasets across energy generation, demand, weather and macro factors.
  • Develop and deploy ML models to forecast renewable energy generation.
  • Perform time series forecasting for power and energy storage markets leveraging historical data to predict future trends.
  • Apply understanding of the mathematical/statistical fundamentals behind machine learning to improve existing applications and inspire new ones.

Requirements:
Degree in Mathematics/Quantitative field – Mathematics, Computer Science, Physics, Statistics etc

  • 2+ years using Python and scientific computing - Numpy, Pandas, SciPy, ScikitLearn, etc.
  • Experience developing and deploying machine learning models.
  • Extensive experience exploring and extracting insights from multi-dimensional and varying data sets.

About Mint Selection:
We're known for building high performance teams that cover analyst to senior leadership, executive and Director level appointments. Our recruitment strengths lie within the clean energy market, providing the latest energy jobs in; Renewable Energy (Wind Power, Solar PV, Wave & Tidal, Hydro, Biomass, Waste-to-energy, Geothermal, CHP), Battery Energy Storage, Fast Response, Hydrogen Production & Storage, Cleantech, Demand Response / Flexibility, Transmission & Distribution, Electric Vehicles and Vehicle Infrastructure.