Weather Quantitative Research Internship Programme (Weather Analytics)

Location: Grenoble, France; full-time, on site

Company

hirify.global is a diversified commodities trading company providing energy trading, risk management, optimisation, and renewable power services through quantitative research, weather analytics, and proprietary technology.

What you will do

• Investigate a specific or rare weather phenomenon and analyse its physical and statistical characteristics.
• Assess connections between weather phenomena, energy-market outcomes, and trading decisions.
• Source, clean, and analyse meteorological and market datasets using Python.
• Develop, test, and evaluate statistical or machine-learning approaches to improve forecasting.
• Compare numerical weather prediction and AI weather model outputs, documenting assumptions, limitations, and performance.
• Present research methods, findings, and recommendations to weather, quantitative, and commercial stakeholders.

Requirements

• Currently undertaking a master’s degree internship or equivalent, including the third year of a French Grande École, in meteorology, atmospheric sciences, computer science, machine learning, or a related quantitative discipline.
• Strong Python skills and experience analysing, manipulating, and modelling complex datasets.
• Strong grounding in machine learning, statistics, or quantitative modelling, plus substantial research, modelling, or data-science project experience.
• Interest in weather forecasting and applying weather information to energy markets, with strong analytical, problem-solving, and communication skills.
• Business-level English proficiency required.
• Must have the right to work in France for the full internship and be able to enter into a convention de stage with a university or school.

Nice to have

• Experience with numerical weather prediction outputs, AI weather models, or meteorological data formats.
• Familiarity with deep learning, time-series modelling, probabilistic forecasting, or model validation.
• Experience with weather ecosystem tools or scientific computing libraries.
• Exposure to energy markets, power markets, renewables, or commodities.

Culture & Benefits

• Six-month internship running from 15 February to 12 August 2027.
• Ownership of a focused quantitative research project with direct relevance to weather forecasting and energy markets.
• Mentorship from experienced weather and quantitative research professionals.
• Exposure to commercial stakeholders, meteorological datasets, advanced forecasting methods, and AI weather models.
• Collaborative and inclusive environment guided by performance, agility, collaboration, and entrepreneurship.