Carbon Analytics Quant Intern — Data & Market Modelling

Talent Octopusventures; London Borough of Hackney; On-site; GBP 12,000 - 20,000; Full time

Benefits offered by this job

Mentorship

AI tools exposure

Flexible working hours

Competitive internship salary

International work environment

Job summary

ICIS, part of LexisNexis Risk Solutions, offers a 6-month Carbon Analytics Internship based in Europe. You will develop data analytics tools, forecast models and participate in data-driven research within a global energy market context.

You’ll work with a team of analysts, gain exposure to AI-enabled coding tools, and interact with Power, Gas and LNG teams while contributing tangible business insights.

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.
• Collaborative mindset and initiative.

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

Data handling

English writing

Analytical thinking

Initiative

Education

Bachelor's or Master's in Industrial Engineering, Financial Engineering, Data Engineering or related

Tools

Pandas

SQL databases

Job description

ICIS, part of LexisNexis Risk Solutions, offers a 6-month Carbon Analytics Internship based in Europe. You will develop data analytics tools, forecast models and participate in data-driven research within a global energy market context.

You’ll work with a team of analysts, gain exposure to AI-enabled coding tools, and interact with Power, Gas and LNG teams while contributing tangible business insights.