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Data Scientist, VP; AI and Modelling

Job in City of Westminster, Central London, Greater London, England, UK
Listing for: Bowers Partnership
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 825 GBP Daily GBP 825.00 DAY
Job Description & How to Apply Below

Rate: £825 per day, Inside IR35

Contract length: 12 months, rolling contract

Location:

London W1

Working arrangement:
Hybrid, with a minimum of three days per week in the London office

A boutique investment bank in London is hiring a hands-on Data Scientist at VP level to build AI and modelling products for its bankers. You will work within a small team, developing solutions that go into production and support live M&A and advisory deals.

M&A experience is essential. You must understand the deal environment and be able to translate bankers' requirements into practical AI and modelling solutions.

What you will be doing:
  • Building generative AI and machine learning products end to end, from prototype through to production.
  • Applying LLMs and NLP to real M&A and advisory problems.
  • Developing statistical and predictive models, from framing the question through to deployment.
  • Writing production-quality Python, taking ownership of your code and working closely with engineering.
  • Working directly with senior bankers and explaining your models, assumptions and reasoning clearly to non-technical stakeholders.
What we are looking for:
  • Demonstrable M&A experience, alongside a strong understanding of investment banking and advisory workflows.
  • Strong hands-on experience in data science, AI and statistical modelling.
  • Excellent Python skills and experience delivering models and AI products into production.
  • Practical experience with generative AI, LLMs and NLP.
  • The ability to explain your technical choices, evaluate model performance and demonstrate the impact of your work.
  • Experience building platforms or products, with clear ownership of delivery.
  • Confidence working with senior stakeholders in a demanding deal environment.
  • Availability to attend the London W1 office at least three days per week.

Interview process:
Includes a live coding exercise, so you will need to be comfortable writing code and explaining your approach during the interview.

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