Secondaries & Primaries Data Science Intern - July 2026 | London

Secondaries & Primaries Data Science Intern - July 2026 | London

Full-Time 20000 - 30000 € / year (est.) No home office possible
Ardian

At a Glance

  • Tasks: Support investment strategies using data science to analyse market trends and enhance insights.
  • Company: Join Ardian, a leading global private equity firm with a diverse culture.
  • Benefits: Gain hands-on experience, potential full-time offers, and work in a dynamic environment.
  • Other info: Collaborate with cross-functional teams and develop innovative data tools.
  • Why this job: Dive into the fast-paced world of private equity and make a real impact.
  • Qualifications: Pursuing a degree in Data Science or related field; Python and SQL skills required.

The predicted salary is between 20000 - 30000 € per year.

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.

Job Responsibilities:

  • Collaborate with the investment team to develop and refine data-driven models for investment analysis and portfolio management.
  • Conduct statistical analysis and predictive modelling to identify market opportunities and risks within the Secondaries and Primaries domains.
  • Support the maintenance and improvement of internal databases, ensuring data accuracy and integrity for analysis purposes.
  • Participate in the development and implementation of new data tools and algorithms to enhance investment strategies.
  • Engage in cross-functional projects with the IT and data science teams to streamline data processes and infrastructure.
  • Depending on the workload and the intern's interests, they may also work on topics related to the fund's more general investment and asset management activities.

Specialised business and technical knowledge:

  • 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.

Education and Experience:

  • 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.

Communication Scope:

  • The candidate will be required to liaise directly with various internal team members and should be confident in requesting / providing information to all levels of management.
  • The role will require frequent interaction with other teams in the UK, and from other Ardian offices / geographies.

Regulatory Responsibilities:

  • Conduct Rule Staff: Ensure compliance with all relevant statutory and regulatory requirements applicable to the role.
  • Understand the Individual Conduct Rules set out by the UK Regulator and ensure compliance in letter and in spirit.

Right to work:

Please ensure you have the appropriate right to work in the UK i.e. a British passport, settled or pre-settled status under the EU settlement scheme or have obtained a visa which gives you the right to live and work in the UK. Additionally, please note that we professionally sponsor visas for eligible candidates.

Secondaries & Primaries Data Science Intern - July 2026 | London employer: Ardian

Ardian is an exceptional employer that fosters a dynamic and inclusive work culture, providing interns with the opportunity to engage in meaningful projects within the fast-paced private equity sector. Located in London, this internship not only offers hands-on experience in data science and investment strategies but also opens doors for future career growth, with strong performers potentially receiving full-time job offers upon completion. With a commitment to diversity and innovation, Ardian empowers its employees to thrive and contribute to impactful solutions in a rapidly evolving market.

Ardian

Contact Detail:

Ardian Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Secondaries & Primaries Data Science Intern - July 2026 | London

✨Tip Number 1

Network like a pro! Reach out to current or former interns at Ardian on LinkedIn. Ask them about their experiences and any tips they might have for you. Personal connections can really help us stand out in the application process.

✨Tip Number 2

Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've used data science in real-world scenarios. We want to see your analytical thinking in action, so practice explaining your thought process clearly.

✨Tip Number 3

Show your passion for finance! Read up on the latest trends in the Secondaries and Primaries markets. Being able to discuss current events and how they relate to investment strategies will impress the interviewers and show that you're genuinely interested.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows that you’re proactive and serious about landing this internship with us.

We think you need these skills to ace Secondaries & Primaries Data Science Intern - July 2026 | London

Analytical Skills
Statistical Analysis
Predictive Modelling
Python
pandas
scikit-learn
SQL

Some tips for your application 🫑

Tailor Your CV:Make sure your CV is tailored to the Data Science Intern role. Highlight relevant skills like Python, SQL, and any experience with data visualisation tools. We want to see how your background fits with our needs!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our Secondaries & Primaries team. Keep it concise but impactful!

Showcase Your Projects:If you've worked on any data science projects, make sure to mention them! Whether it's coursework or personal projects, we love seeing practical applications of your skills. It shows initiative and real-world experience.

Apply Through Our Website:Don't forget to apply through our website! It's the best way to ensure your application gets to us directly. Plus, you'll find all the details you need about the role and our company there.

How to prepare for a job interview at Ardian

✨Know Your Data Science Tools

Make sure you're well-versed in Python, especially libraries like pandas and scikit-learn. Brush up on SQL too, as you'll likely be asked about your experience with these tools during the interview.

✨Understand the Market Dynamics

Familiarise yourself with the Secondaries and Primaries markets. Research recent trends and news in private equity to show your genuine interest and understanding of the sector during your conversation.

✨Prepare for Technical Questions

Expect questions that test your analytical and problem-solving skills. Practice explaining complex concepts clearly and concisely, as communication is key in this role. You might even want to prepare a few examples of past projects where you applied data science methodologies.

✨Show Your Team Spirit

This internship involves collaboration with various teams, so be ready to discuss your experiences working in teams. Highlight your ability to work autonomously but also how you contribute to group efforts, as this will resonate well with the interviewers.