Senior Data Scientist (VP)

An opportunity for an experienced Data Scientist with deep expertise in time series forecasting, predictive modelling, and quantitative analytics. The role sits within a growing data science function supporting investment teams across private markets.

Client Details

The organisation combines deep industry expertise with a data-driven approach to investment decision-making and portfolio management.

Description

• Lead the design and deployment of advanced time series forecasting and predictive analytics models for investment applications.
• Partner closely with investment professionals to uncover insights from complex datasets and support investment decisions.
• Drive best practices across statistical modelling, machine learning algorithms, and quantitative research.
• Mentor and develop a team of data scientists, fostering a collaborative and high-performing environment.
• Evaluate and implement innovative analytical approaches that enhance forecasting accuracy and portfolio insights.

Job Offer

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

• Significant experience in Data Science, Quantitative Analytics, or a related field within financial services, asset management, or investment organisations.
• Strong expertise in time series analysis, forecasting models, predictive analytics, and statistical methodologies.
• Experience leading or mentoring data science teams and managing complex analytical projects.
• Proficiency with Python, R, SQL, and modern data science toolsets.
• Exposure to AI or Generative AI concepts is advantageous, but deep expertise in LLMs, vector databases, or agentic frameworks is not required.