Data Scientist, VP (AI and Modelling)
CV-LibraryW1, Marylebone High Street, Greater LondonpermanentPosted: 16 July 2026
Apply NowA boutique investment bank in London is hiring a Data Scientist at VP level to build AI and modelling products for its bankers. Hands-on, small team, and what you build goes into production and gets used on live deals.
To be clear on what this is not: it is not a trading or markets seat. The work is banker solutions, built for the people doing the deals.
What you will be doing:
• Building generative AI and machine learning products end to end, from prototype through to production. LLMs and NLP applied to real M&A and advisory problems, not proofs of concept that go nowhere
• Statistical and predictive modelling, from framing the question through to a model in production
• Writing production-quality Python and owning your own code, working closely with engineering
• Working directly with senior bankers, and explaining your models and your reasoning to people who are not data scientists
What they are looking for:
• Genuine hands-on depth. You are still building models and writing code every day, and you want to keep it that way
• Real AI and modelling rigour, and the ability to talk through the choices you made and why
• A platform and product background rather than a purely business-facing or advisory one
• Financial services experience, ideally investment banking. M&A or advisory exposure is a real advantage
• A CV with real substance behind each role, and tenure that shows you build things rather than pass through
Worth knowing before you apply: the interview process includes a live coding exercise, so you will need to be comfortable writing code in front of people.
If that sounds like you, send your CV through, and I will come back to you.
Bowers Partnership is acting as an employment agency in relation to this vacancy
To be clear on what this is not: it is not a trading or markets seat. The work is banker solutions, built for the people doing the deals.
What you will be doing:
• Building generative AI and machine learning products end to end, from prototype through to production. LLMs and NLP applied to real M&A and advisory problems, not proofs of concept that go nowhere
• Statistical and predictive modelling, from framing the question through to a model in production
• Writing production-quality Python and owning your own code, working closely with engineering
• Working directly with senior bankers, and explaining your models and your reasoning to people who are not data scientists
What they are looking for:
• Genuine hands-on depth. You are still building models and writing code every day, and you want to keep it that way
• Real AI and modelling rigour, and the ability to talk through the choices you made and why
• A platform and product background rather than a purely business-facing or advisory one
• Financial services experience, ideally investment banking. M&A or advisory exposure is a real advantage
• A CV with real substance behind each role, and tenure that shows you build things rather than pass through
Worth knowing before you apply: the interview process includes a live coding exercise, so you will need to be comfortable writing code in front of people.
If that sounds like you, send your CV through, and I will come back to you.
Bowers Partnership is acting as an employment agency in relation to this vacancy