Role Overview -
* We are looking for someone who is passionate about translating ideas into numbers that enable better decision-making.
* You should enjoy analyzing commercial value in the context of complex, uncertain and evolving market conditions.
* Build energy market models for Europe using standard tools.
* Perform back casting to assess model performance.
* Benchmark various available energy market tools.
* Report generation of model analysis.
Education - Masters degree from a recognized university (Power Systems, Energy Markets, Applied Mathematics, Economics or related field).
Required Qualifications
Experience
* 3–5 years of relevant experience in energy modelling, optimization or quantitative analysis within the power sector.
Technical Skills
* Proven expertise in energy systems, using quantitative and computational methods.
* Hands-on experience in the modelling, development and deployment of models.
* Strong proficiency in Python for model development, data analysis and automation with the ability to translate technical and business requirements into clean, efficient and maintainable code.
* Strong analytical and problem-solving skills with the ability to research and learn new techniques.
* Experience working with large time-series datasets (prices, load, weather, generation, dispatch).
Communication & Collaboration
* Ability to communicate complex analytical concepts clearly to technical and non-technical stakeholders.
* Strong documentation skills covering models, assumptions and analytical results.
* Collaborative team player with a structured and proactive working style.
Good to Have Skills
* Exposure to machine learning or data-driven methods applied to forecasting or energy system operations is a plus.
* Relevant publications in reputed journals.
* Experience in formulating and solving optimisation problems, including:
* Linear and Mixed-Integer Linear Programming (LP / MILP).
* Stochastic optimisation and simulation.
Responsibilities-
§ This role is suited for candidates with a strong quantitative inclination who are excited to work on optimization, modelling and market-driven decision-making in energy systems.
§ Develop and maintain energy system and market models that capture the interaction between renewable generation, energy storage, demand, grid constraints and electricity markets.
§ Validate, stress-test and interpret model outputs to ensure results are technically robust, commercially meaningful and aligned with real-world system behaviour.
§ Collaborate with cross-functional teams (engineering, investment and operation) to develop and refine operating and revenue optimisation strategies for renewable and storage assets.
§ Translate complex modelling and analytical outputs into clear insights and recommendations for technical and non-technical stakeholders.
§ Track and analyse developments across electricity markets in Europe, including day-ahead, real-time, balancing and ancillary service markets to continuously improve modelling assumptions and optimisation approaches.
Tools/software- PLEXOS, PyPSA.
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