Data Scientist - Energy Forecasting

at  Mint Selection

INTRODUCTION:

Mint Selection is partnered with an innovative UK-based energy company operating at the nexus of energy trading, analytics and optimisation.
With a growing European presence and more demand than ever for their forecasting solutions, they are looking for passionate data scientists to join them

DESCRIPTION:

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.

QUALIFICATIONS:

• 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
• Experience in time series forecasting - ARIMA, Regression, MILP, GARCH etc.
• Extensive experience exploring and extracting insights from multi-dimensional and varying data sets.
  Mint Selection is a trusted Clean Energy Recruitment Specialist with an extensive network and deep sector knowledge. We are an independent who support our clients and candidates through the full life cycle of Energy project, development, build, finance, and operations. 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.
  Core areas we support include Renewable Energy Investment Management, Energy Project Finance, Structured Finance, M&A, Renewable Energy Project Development, Construction, Operations, Engineering, Commercial Management, Procurement, Asset Management, Portfolio Performance, Risk Management, Trading & Optimisation, Quantitative Analytics and Data Science.
  We enjoy a diverse client-base including; Private Equity Investors, Project Developers, Independent Power Producers, Institutional Investors, Banks/Lenders, Utilities, Energy Conglomerates, Equipment Manufacturers, EPC Contractors and advisory businesses that work throughout the United Kingdom and European Union, in particular, England, Wales, Scotland, Ireland, Spain, France, Poland and the Netherland

• Identify, 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.
• Maintain and optimise existing models. Forecasts and analytics tools/applications to ensure accuracy and performance