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Market Modeller

3 weeks ago

Dublin, Dublin City, Ireland beBeeQuantitative Full time €90,000 - €120,000
Senior Quantitative Data Scientist Opportunity

As a Senior Quantitative Data Scientist, you will play a key role in developing and maintaining short-term market forecasting models for day-ahead, intraday, and balancing prices. You will be responsible for creating optimisation models that facilitate real-time scheduling and market participation of flexible assets, including battery storage, industrial demand response, DSU, and aggregated portfolios.

This is an exciting opportunity to lead the creation of forecasting and optimisation models that underpin asset trading and demand-side flexibility strategies in the UK and Irish electricity markets. The successful candidate will have a proven track record of developing applied models that accurately reflect the structure and dynamics of real power markets and flexibility products.

Key Responsibilities:
  • Develop and maintain short-term market forecasting models for day-ahead, intraday, and balancing prices.
  • Create optimisation models that facilitate real-time scheduling and market participation of flexible assets.
  • Design and implement co-optimisation models that operate across energy and ancillary services markets.
  • Assess and simulate the effects of forecast errors, price volatility, and baseline methodologies on trading performance and service delivery.
  • Support the development of forecast-based bidding strategies, integrating model outputs into operational decision-making tools.
  • Collaborate closely with traders, control engineers, and commercial teams to ensure models are aligned with real operational and market constraints.
Requirements:
  • Postgraduate qualification in a quantitative discipline such as mathematics, statistics, engineering, or physics.
  • Proficiency in Python or R, with experience in libraries like pandas, scikit-learn, statsmodels, Pyomo, or similar tools.
  • Strong expertise in time series forecasting, stochastic modelling, and optimisation under uncertainty.
  • Experience with linear or mixed-integer optimisation methods, ideally within an energy market context.
  • Knowledge of probabilistic forecasting, scenario generation, and model back testing techniques.
Benefits:
  • Hybrid working options and a competitive salary package commensurate with experience.
  • The chance to influence how flexible assets are valued and scheduled across energy and ancillary markets.
  • Exposure to real operational constraints and commercial strategy beyond offline modelling.
About Us:

This role offers an exciting opportunity to contribute to cutting-edge projects in global energy markets and smart grid technologies.

  • Relentless: We push beyond boundaries and never settle for less than world-class.
  • Integrity: We conduct ourselves with honesty, ethics, and transparency, fostering trust and respect.
  • Agility: We value adaptability and openness to new ideas and technologies.
  • Collaboration: We foster a culture of cooperation and shared knowledge.