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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

24Open Positions

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  • A

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A

Secondaries & Primaries Data Science Intern

Arden University
Found 3 weeks ago
Location
London, United Kingdom
Duration (Months)
6 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Only UK
Last Verified
3 weeks ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • pandas
  • scikit-learn
  • SQL
  • Tableau
  • PowerBI
  • AI
  • Excel
  • PowerPoint

Soft Skills

  • analytical skills
  • problem-solving skills
  • motivated
  • ability to work autonomously
  • ability to work in a team environment
  • Excellent communication skills
  • ability to present complex technical concepts in a clear and concise manner

Job Description

Joining the Secondaries & Primaries team at Ardian, the Data Science Intern will leverage analytical skills to support investment strategies and decision-making processes. This role involves working closely with both the investment team and the IT department, applying data science methodologies to optimize investment models, analyse market trends, and enhance data-driven insights for the Secondaries and Primaries markets. This internship offers a unique opportunity to immerse yourself in the fast-paced world of private equity, specifically within the innovative Secondaries and Primaries market. You will gain hands-on experience in applying data science and artificial intelligence techniques to real-world financial problems, contributing directly to the team's success. Strong performers may receive offers for full-time roles upon completion of their internship.

Requirements

  • Proficiency in Python (including pandas, scikit-learn) and SQL.
  • Experience in data visualization tools (e.g., Tableau, PowerBI) is advantageous.
  • Interest in the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics.
  • Strong analytical and problem-solving skills.
  • Highly motivated with the ability to work autonomously and in a team environment.
  • Excellent communication skills with the ability to present complex technical concepts in a clear and concise manner.
  • Experience in developing AI tools is advantageous
  • At least 2nd year student, pursuing a degree in Data Science, Statistics, Mathematics, Operations Research, or related field.
  • Previous internship or project experience in data science or a related field.
  • Fluent in English, with strong written and verbal communication skills.
  • Proficiency in Excel and PowerPoint is appreciated, along with any programming experience beyond Python and SQL.

Related Field

  • Data & Analytics

Related Subfield

  • Data Science

Languages

  • English

Nice to Haves

  • Experience in data visualization tools (e.g., Tableau, PowerBI)
  • Experience in developing AI tools
  • Proficiency in Excel and PowerPoint is appreciated
  • any programming experience beyond Python and SQL
▶Apply Now

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