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Posted 4 days ago
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**Asset & Wealth Management Data Scientist - Associate - London** Leverage advanced data science skills to drive innovation in investment processes. Partner with Deal Teams and portfolio companies to solve high-value problems. Key responsibilities include data analysis, model development, and stakeholder collaboration. Qualified applicants hold a MSc/PhD in a quantitative field, possess 2+ years of experience, and demonstrate strong programming and data science skills. Experience with AI/ML tools and cloud platforms is highly valued. Join a dynamic team in London.
- Compensation
- Not specified
- City
- London
- Country
- United Kingdom
Currency: Not specified
Full Job Description
Asset & Wealth Management - Data Scientist - Associate - LondonLondon, Greater London, England, United Kingdom
Opportunity Overview
CORPORATE TITLEAssociate
OFFICE LOCATION(S)London
JOB FUNCTIONData Engineering
DIVISIONAsset & Wealth Management
Join our Alternatives 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 data- and AI-driven models to drive innovation and productivity for origination, due diligence, and investment performance. The data science team sits alongside the Goldman Sachs Deal Teams and works closely with the Goldman Sachs Value Accelerator and portfolio company management teams.
Key Responsibilities:
- 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 identify high-value commercial problems and translate them into well-scope technical solutions
- Own the end-to-end delivery of prototypes through an investment lens from framing the commercial problem and sourcing alternative datasets, to exploring the data and building the underlying model or pipeline that powers the solution
- 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 and AI 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 data and AI capabilities
Qualifications, experience, and attributes:
- MSc or PhD in a quantitative field such as Mathematics, Statistics, Physics, Engineering, Computer Science, or a related field
- 2+ years of relevant experience applying quantitative methods to commercial problems with measurable impact
- Strong programming skills (Python, SQL) and experience using the basic data science libraries (e.g. pandas, scikit-learn) and comfort writing clean, modular code beyond notebooks
- 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. Experience with alternative data is advantageous
- 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
Highly valued:
- Hands-on experience building with modern AI tooling, including LLMs, prompt engineering, RAG pipelines, embeddings, vector databases, and at least one agent or orchestration framework (e.g., LangChain, LlamaIndex, LangGraph)
- Experience with cloud platforms (AWS, Azure, GCP) and basic familiarity with Docker, APIs, and lightweight web frameworks (FastAPI, Streamlit) for shipping prototypes
- Exposure to private equity, investment banking, consulting, or operating roles in portfolio companies
- Experience working in embedded or client-facing delivery models (consulting, forward deployed, solutions engineering) supporting data-informed decision making
- Familiarity with LLM evaluation frameworks and responsible AI practices
- Adept at designing high-performance schemas and feature stores within modern cloud data platforms (e.g., Databricks, Snowflake); specialized in transforming complex, unstructured datasets into structured, optimized formats engineered specifically to train and scale predictive models.
ABOUT GOLDMAN SACHS
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 GS.com/careers.
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
The Goldman Sachs Group, Inc., 2023. All rights reserved.
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.
We Offer Best-In-Class Benefits
Healthcare & Medical Insurance
We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance.
Holiday & Vacation Policies
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 assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees priorities.
Health Services
We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices.
Fitness
To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount).
Child Care & Family Care
We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available.
Benefits at Goldman Sachs
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