Data Scientist, VP (AI and Modelling) – Contract

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.

#J-18808-Ljbffr

Full job description from WhatJobs. Apply for this role →