Lead Data Scientist

THE IDOLS GROUP LIMITED
London
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist (Defence) - Onsite UK Clients

Lead Data Scientist / Tech Scale Up / £120,000

Lead Data Scientist / Tech Scale Up / £120,000


Lead Data Scientist



Salary: £120K - £140K + Equity



Location: London in office

Data Idols are working with a rapidly scaling technology company which is redefining how large, highly regulated organisations produce, validate, and deliver client-facing work.

They are now hiring a Lead Data Scientist to take full ownership of their data ecosystem and help shape how the company operates, measures success, and makes decisions. You will own the data stack end-to-end and work at the intersection of analytics, engineering, and applied machine learning.



The Opportunity

This is a high-impact, high-autonomy role where you will design, build, and scale the company's entire data capability from ingestion through to insight and prediction.

You'll work closely with senior leadership, product, engineering, and go-to-market teams, ensuring data is reliable, real-time, and genuinely useful. You'll turn messy, fast-moving problems into automated, production-grade systems that inform product strategy, customer behaviour, and operational decisions.

If you enjoy building from first principles, moving fast, and taking real ownership, this role offers an unusually broad scope and level of influence.



Skills and experience

  • Strong Python for pipelines and analysis
  • Advanced SQL and hands-on dbt experience
  • Experience building data platforms from scratch in...

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.

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.