Principal Data Scientist / AI Engineer

Wyatt Partners
London
8 months ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist I - Agentic Systems

Principal Data Scientist - Healthcare

Principal Data Scientist - Healthcare

Senior Data Scientist

Principal Product Data Scientist

Principal Data Scientist London, United Kingdom

This role will lead the build of real world AI products for a very successful B2B SaaS firm, already doing c. $100 million ARR. The products you build will have significant impact on the companies bottom line.


The company have a large proprietary data set, unrivalled in their marketplace.


About the Company- PE backed c. $100 million ARR B2B SaaS firm, looking to hire a Principal ML Engineer / Data Scientist to build data science and AI products to integrate into their platform. They are around 200 employees with a great tech team and modern tech stack as well as an unrivalled dataset in their marketplace built by merging several key companies within the sector.


About the Role- The role will be largely a Senior Individual contributor although with significant access & interaction with the C-suite & Private Equity backers. You'll lead teams on a squad basis and manage 3rd party resource from a specialist consultancy.


You will be responsible for design and build of AI tools for a B2B sales platform. The products will aim to take the platform to another level of depth for it's users offering strategic recommendation & insights.


It is critical that you can demonstrate experience of building Data & AI tools that have created commercial value for an organisation and/or it's clients.


In particular we are looking for experience of building AI enabled prediction & forecasting products.


We are expecting technical experience in some of these areas:


  • LLM's, RAG
  • Delivering applied Machine Learning projects
  • Time Series Modelling
  • Recommender systems & models


This is an opportunity to build real world AI tools that will be put in the hands of B2B end users, and create significant extra revenue for the rapidly growing B2B SaaS company.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.