Secondaries & Primaries Data Science Intern - July 2026 | London in City of Westminster

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 optimise 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 workload and interests, work on additional topics related to the fund’s general investment and asset-management activities.

Specialised Business and Technical Knowledge

• Proficiency in Python (including pandas, scikit-learn) and SQL.
• Experience in data visualisation tools such as Tableau or 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 a second-year student, pursuing a degree in Data Science, Statistics, Mathematics, Operations Research, or a 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 liaise directly with various internal team members and should be confident in requesting and providing information to all levels of management. The role will require frequent interaction with other teams in the UK and across Ardian offices and geographies.

Regulatory Responsibilities

Conduct rule staff: Ensure compliance with all relevant statutory and regulatory requirements applicable to the role and understand the Individual Conduct Rules set out by the UK regulator, ensuring compliance in letter and spirit.

Right to Work

Ensure you have the appropriate right to work in the UK – a British passport, settled or pre-settled status under the EU settlement scheme, or a visa that grants the right to live and work in the UK. Ardian professionally sponsors visas for eligible candidates.

Equal Employment Opportunity

Ardian is committed to providing equal employment opportunities to all employees, applicants and candidates based on individual qualifications, without regard to race, colour, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran or military status, genetic information, ancestry, marital status as a victim of domestic violence, pregnancy or childbirth (including breastfeeding) or any other class protected by federal, state or local laws.