Asset & Wealth Management - Private Equity Data Science - Associate

Asset & Wealth Management - Private Equity Data Science - Associate - London Overview

The role:

Join our Private Equity Data Science team and contribute to DSML and AI initiatives across the full lifecycle of the investment process. The Data Scientist will be responsible for the design, development, and implementation of quantitative and data-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Private Equity Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.

• Leverage sophisticated statistical, mathematical, and programming skills to analyse complex datasets, support the investment processes, and drive quantifiable commercial value.
• Partner with Deal Teams to define and deliver data-driven origination initiatives
• Deliver quantitative analyses through investment due diligence; translating complex data into comprehensive analyses assessing potential risk and opportunities in tight timelines
• Partner strategically with portfolio company management teams to drive data and AI initiatives for value creation
• Partner with GS Engineering to lead development and implementation of data-centric tools, enhancing our investment processes and supporting our deal and fundraising teams
• Stay up-to-date with the latest developments in AI, ML, and related fields to continuously improve the division's AI capabilities

• PhD or equivalent in a quantitative field such as Mathematics, Computer Science, Physics or in a related field
• 2+ years of relevant experience applying quantitative methods to commercial problems
• Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn)
• High-level of proficiency in mathematics, statistics, and data science theory
• Proven experience implementing sophisticated data science techniques, handling large datasets, translating data into actionable business insights
• Commercial experience with a strong track record of quantitative problem solving and realised commercial impact
• Excellent written and verbal communication and collaboration skills with a strong growth mindset

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Learn more about our culture, benefits, and people at

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

• Job Identification 160562
• Job Category Associate
• Posting Date 02/19/2026, 04:45 PM
• Locations London, Greater London, England, United Kingdom

Healthcare & Medical Services

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally.

We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year.

Financial Wellness & Retirement

We…