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Paid Internship
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Required Degree
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9Open Positions

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Data Analyst internship

RELX
Found 3 months ago
Location
Paris, France
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
competitive internship salary
Visa Help
Not disclosed
Last Verified
3 months ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • optimization
  • operations research
  • stochastic calculus
  • data analytics
  • data visualization
  • market indicators
  • price forecasting models
  • supply-demand models
  • gas flow analysis

Soft Skills

  • motivated
  • Strong communication and writing skills in English
  • Comfortable handling and visualizing large data sets
  • Strong problem-solving abilities
  • enjoys working in a team
  • takes initiatives
  • Interest in energy markets

Job Description

As part of the Carbon Quantitative team, you will contribute to the development of our European carbon market analytics with a focus on: Data-driven insights Trading behaviour researchfundamental market modelling.  You will work closely with experienced analysts to design analytical tools, manage large datasets, and support the quantitative understanding of key gas market dynamics. ResponsibilitiesDevelop and implement data analytics and visualization tools on our platform (e.g. market indicators, price forecasting models) Support key projects with data handling and programming tasks (e.g., supply-demand models and gas flow analysis) Conduct research on trading behaviour and patterns in European gas markets

Requirements

  • Programming experience is required in Python and SQL
  • Mathematical background in optimization, operations research, stochastic calculus or related fields.
  • Strong communication and writing skills in English is a requirement
  • Comfortable handling and visualizing large data sets
  • Strong problem-solving abilities, enjoys working in a team, takes initiatives
  • Interest in energy markets, particularly in European gas trading and infrastructure
  • Bachelor or master’s in industrial, financial, data engineering or comparable fields of study
  • CVs in English

Related Field

  • Data & Analytics

Related Subfield

  • Data Analysis

Languages

  • English
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