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Paid Internship
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46177Open Positions

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Aviation Consultancy and Valuations Intern

RELX
Found 2 months ago
Location
London, United Kingdom
Time
Full-time
Work Mode
On-site
Salary
Paid internship
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • economics
  • quantitative analysis
  • data science
  • Microsoft Excel
  • SQL
  • Python
  • Power BI
  • Tableau
  • Snowflake
  • Databricks
  • statistical and econometric methods

Soft Skills

  • communication skills
  • attention to detail
  • interpret complex datasets
  • form evidence-based opinions
  • develop and safeguard a viewpoint

Job Description

This is a unique opportunity to apply your academic expertise in economics, quantitative analysis, and data science to real-world challenges in the aviation industry. As an Aviation Consultancy & Valuations Intern at Cirium Ascend, you will be an integral part of a global team supporting aviation valuations and market research initiatives. You will contribute to valuation models, market studies, and advisory projects. You will gain hands-on experience in research and data analysis within our Valuations & Consultancy department. Throughout your internship, you will collaborate with experienced analysts and as applicable receive training and guidance throughout your internship. This position offers practical experience in valuation models, market intelligence, and research methodologies, equipping you with valuable skills for future professional advancement.

Requirements

  • current student or recent graduate (incl. postgraduate) with a numerate background in engineering, mathematics, statistics, data science, accounting, economics, or a related quantitative field of study
  • proficient in Microsoft Excel
  • Familiarity with SQL, Python, Power BI, Tableau, Snowflake, or Databricks is a plus
  • solid communication skills and a keen interest in and knowledge of aviation
  • attention to detail with the ability to process large volumes of data
  • able to interpret complex datasets, apply statistical models, and form evidence-based opinions
  • Proven capability (or eagerness) to develop and safeguard a viewpoint is an advantage
  • Demonstrate fluency in English

Related Field

  • Aerospace Engineering

Related Subfield

  • Aerodynamics

Languages

  • English

Nice to Haves

  • Familiarity with SQL, Python, Power BI, Tableau, Snowflake, or Databricks
  • Additional languages
▶Apply Now

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