DescriptionThe 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.
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 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 divisions AI capabilities
Qualifications experience and attributes:
- 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
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. Were 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
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:
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.
Required Experience:
IC
DescriptionThe 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...
DescriptionThe 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.
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 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 divisions AI capabilities
Qualifications experience and attributes:
- 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
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. Were 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
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:
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.
Required Experience:
IC
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