Senior Data Scientist – VP Level

About the role

We are looking for an experienced Senior Data Scientist at VP level to lead the design and deployment of advanced time‑series forecasting and predictive analytics models that support investment decisions across private‑market portfolios.

Key responsibilities

• Develop and operationalise sophisticated time‑series and predictive models for investment applications.
• Collaborate with investment professionals to extract insights from complex, high‑value datasets.
• Establish and promote best practices in statistical modelling, machine learning and quantitative research.
• Mentor and grow a team of data scientists, fostering a high‑performing, collaborative environment.
• Evaluate emerging analytical approaches to improve forecasting accuracy and portfolio insight.

Required profile

• Significant experience in data science, quantitative analytics or a related field within financial services, asset management or investment organisations.
• Proven track record leading or mentoring data‑science teams and managing complex analytical projects.
• Strong expertise in time‑series analysis, forecasting models and statistical methodologies.

Required skills

• Python
• R
• SQL

What we offer

• Opportunity to influence investment outcomes on a leading private‑markets platform.
• Exposure to complex, high‑value datasets and strategic investment initiatives.