Carbon Analytics Intern: Quant Research in Energy Markets

RELX INC

Paris

On-site

EUR 14,000 - 23,000

Full time

37 hours ago
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Benefits offered by this job

Flexible working hours

Job summary

RELX INC's ICIS Carbon Analytics internship in Paris offers hands-on experience in data analytics and market research within a dynamic European energy market. You will build tools, handle large datasets and lead projects with measurable business impact, mentored by senior analysts and exposed to AI-assisted coding tools.

The role emphasizes Python/SQL programming, English communication and a strong analytical mindset.

Qualifications

  • Bachelor’s or Master’s degree in Industrial Engineering, Financial Engineering, Data Engineering, or a comparable field of study.
  • Programming experience in Python and SQL.
  • Strong communication and writing skills in English.
  • Confidence in handling and visualising large datasets.
  • Strong analytical and problem-solving skills.
  • A collaborative mindset and the ability to take initiative.
  • An interest in energy markets, particularly European carbon markets.

Responsibilities

  • Develop and implement data analytics and visualisation tools on our platform, including market indicators and price forecasting models.
  • Support key projects through data handling, analysis and programming.
  • Work with large and complex datasets.
  • Lead a high-impact research project with direct business value.
  • Collaborate with experienced quantitative and qualitative analysts.
  • Interact with other energy teams, including Power, Gas and LNG.

Skills

Python
SQL
English
Data analysis
Teamwork

Education

Bachelor/Master in relevant field

Job description

RELX INC's ICIS Carbon Analytics internship in Paris offers hands-on experience in data analytics and market research within a dynamic European energy market. You will build tools, handle large datasets and lead projects with measurable business impact, mentored by senior analysts and exposed to AI-assisted coding tools.

The role emphasizes Python/SQL programming, English communication and a strong analytical mindset.

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