Offshore Wind & Renewable Energy Analyst — Data-Driven Impact

SSE PLC

Aberdeen City, Glasgow, Perth, Belfast City District

On-site

GBP 50,000 - 70,000

Full time

10 days ago
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Benefits offered by this job

Private healthcare discounts
Gym memberships discounts
Online GP and 24/7 counselling

Job summary

SSE Renewables is seeking an Offshore Wind & Renewable Energy Analyst to contribute to the design, evaluation and investment decisions of global offshore wind projects. You will analyse wind resources, model layouts and deliver energy yield assessments to support project viability.

Join a global team applying Python and Matlab to improve efficiency, with exposure to metocean studies and innovative energy solutions across our portfolio.

Qualifications

  • Degree or equivalent in a technical discipline (engineering/physics/math/environmental science).
  • Strong analytical and data-processing capabilities with practical recommendations.
  • Experience using Windographer and WindFarmer Analyst.

Responsibilities

  • Own and deliver wind resource analysis using meteorological data and remote sensing.
  • Design and optimise offshore wind farm layouts balancing energy, constraints and economics.
  • Conduct wind flow, wake modelling and energy yield assessments for investment cases.
  • Support site conditions assessments influencing turbine selection and foundations.
  • Develop analytical tools and models using Python and Matlab to improve decisions.
  • Support Levelised Cost of Energy and energy/cost time-series modelling.

Skills

Wind resource analysis
Data processing
Wind flow modelling
Python
Matlab
Energy yield assessments

Education

Engineering/Physics/Mathematics/Environmental science degree

Tools

Windographer
WindFarmer Analyst
CFD tools

Job description

SSE Renewables is seeking an Offshore Wind & Renewable Energy Analyst to contribute to the design, evaluation and investment decisions of global offshore wind projects. You will analyse wind resources, model layouts and deliver energy yield assessments to support project viability.

Join a global team applying Python and Matlab to improve efficiency, with exposure to metocean studies and innovative energy solutions across our portfolio.

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