The Role
This position 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.
Joining the Secondaries & Primaries team at Ardian, the Data Scientist will leverage analytical skills to support investment strategies and decision-making processes. You will be part of an already established fast-growing data science team entirely dedicated to the Secondaries & Primaries activity.
This role involves working closely with the investment team, applying data science methodologies to optimize investment models, analyze market trends, and enhance data-driven insights for the Secondaries and Primaries markets. You will work on both established datasets and the structuring of new data sources, in close collaboration with our data engineering team.
Current projects include, but are not limited to:
Portfolio-level analytics: fund and company performance modeling, GP benchmarking through development of proprietary machine learning models
AI integration into day-to-day team workflows, including pricing and other deal-related aspects
Market intelligence: identifying trends in private equity markets
Deal execution: data-driven screening of opportunities, valuation support
Risk assessment: scenario modeling for fund investments
Support responses to LP analytics and data-driven requests
Core Technical Skills
Programming languages & technical stack (SQL, Python, R, GitHub, Databricks, Snowflake)
Machine learning & AI (predictive modeling, generative AI, NLP) - Experience in developing AI tools and agentic workflows is advantageous
Statistical analysis & econometrics
Data visualization tools (e.g., Tableau, Power BI)
Business & Investment Skills
Knowledge of the finance and private equity sector, with a desire to understand Secondaries and Primaries market dynamics
Financial modeling & valuation
Market analysis & competitive intelligence
Understanding of investment processes (deal sourcing, due diligence, portfolio monitoring)
Strong analytical and problem-solving skills
Soft 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.
Stakeholder management (investment teams, investors, other parties)
Strategic thinking & problem-solving
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 significant interaction with other teams in Europe and from other Ardian offices / geographies
Profile
Degree in Computer Science, Statistics, Data Science or another related field
1-3 years' experience. The role will initially focus on supporting senior team members, with increasing ownership over models and analyses as experience grows
Familiarity working with international teams and across cultures
Skills Required
- Degree in Computer Science, Statistics, Data Science, or a related field
- 1-3 years of relevant experience
- Experience or knowledge in data science, machine learning, and AI
- Programming experience with SQL, Python, or R
- Knowledge of finance and private equity
- Financial modeling and valuation experience
- Statistical analysis and econometrics knowledge
- Market analysis and competitive intelligence experience
- Understanding of investment processes, including deal sourcing, due diligence, and portfolio monitoring
- Experience working with international teams and across cultures
- Experience developing AI tools and agentic workflows
- Experience with Databricks and Snowflake
- Experience with Tableau or Power BI
Ardian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ardian and has not been reviewed or approved by Ardian.
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Healthcare Strength — Healthcare is frequently described as strong, with supplemental coverage in Europe and solid medical offerings highlighted in the U.S. Feedback suggests this contributes meaningfully to perceived total rewards.
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Leave & Time Off Breadth — Paid time off, Europe-specific days such as RTT, and signals of generous parental leave are cited as strengths. Feedback suggests these provisions are a notable advantage in several offices.
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Equity Value & Accessibility — A broad employee-shareholder base is emphasized, aligning incentives and offering accessible ownership participation. Feedback suggests this ownership mindset adds long-term value for staff.
Ardian Insights
What We Do
Ardian is a world-leading private investment house with assets of US$130bn managed or advised in Europe, North America, and Asia. The company is majority-owned by its employees. It keeps entrepreneurship at its heart and focuses on delivering excellent investment performance to its global investor base. Through its commitment to shared outcomes for all stakeholders, Ardian’s activities fuel individual, corporate and economic growth around the world. Holding close its core values of excellence, loyalty and entrepreneurship, Ardian maintains a truly global network, with more than 850 employees working from fifteen offices across Europe (Frankfurt, Jersey, London, Luxembourg, Madrid, Milan, Paris and Zurich), the Americas (New York, San Francisco and Santiago) and Asia (Beijing, Singapore, Tokyo and Seoul). It manages funds on behalf of round 1,000 clients through five pillars of investment expertise: Fund of Funds, Direct Funds, Infrastructure, Real Estate and Private Debt.
