Power Trading & Renewables Analytics Internship Program

Location: Berlin, Germany or Grenoble, France; full-time, on site. Six-month internship from 15 February to 12 August 2027. Applicants must have the right to work in Germany and/or France for the full internship duration.

Company

hirify.global is a diversified commodities trading company providing power, renewables, natural gas, analytics, risk management, and optimisation services.

What you will do

• Work with front office teams on data-led projects in power, renewables, or balancing risk management.
• Analyse large market, trading, and asset-related datasets to support commercial decisions, portfolio management, systematic trading, and risk management.
• Develop, test, and improve Python-based analytical tools, predictive models, dashboards, and workflows.
• Support optimisation under uncertainty, forecasting, simulation, reporting, and predictive modelling activities.
• Conduct energy market research and present findings to technical and commercial stakeholders.
• Contribute to day-to-day desk activities and build practical knowledge of trading and portfolio decisions.

Requirements

• Strong academic background in engineering, mathematics, computer science, data science, statistics, economics, finance, energy economics, or a related quantitative discipline.
• Strong Python skills and the ability to analyse, manipulate, and interpret complex datasets.
• Strong knowledge of statistics, econometrics, machine learning, predictive modelling, or optimisation.
• Excellent analytical, problem-solving, communication, and collaboration skills.
• Demonstrated experience applying data analysis, coding, or quantitative methods to a practical problem.
• Business-level English and the right to work in Germany and/or France for the full internship duration are required.

Nice to have

• Experience with SQL, data visualisation, advanced modelling, or applying machine learning and AI to market, trading, or quantitative research problems.
• Exposure to optimisation, forecasting, time-series analysis, quantitative finance, algorithmic trading, or large trade and market datasets.

Culture & Benefits

• Hands-on experience on a dedicated renewables, power, or balancing risk management desk.
• Projects with direct commercial relevance in energy markets.
• Mentorship and direct exposure to experienced front office professionals and desk leadership.
• Structured six-month programme combining cohort-based learning with deep desk integration.
• Collaborative and inclusive environment built around performance, agility, collaboration, and entrepreneurship.