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

Opus Recruitment Solutions
London
2 days ago
Create job alert

Lead Data Scientist – High‑Impact Role (Exclusive Search)


I’m working with a rapidly scaling European tech organisation that’s delivering major cloud, data and digital programmes for household‑name enterprise clients. They’re now looking for a Lead Data Scientist to take the reins on a flagship London engagement - and the scope here is huge.

If you’re someone who loves stepping into a role where you can set direction, elevate standards, and actually shape how data gets used across a business, this one’s going to grab you.


Why this role stands out

  • You’ll be the senior voice for Data Science on a major transformation programme.
  • You’ll lead a talented, multi‑location team and define how they deliver.
  • You’ll work directly with senior decision‑makers - your ideas won’t sit on a shelf.
  • The work is varied, complex, and genuinely business‑critical.
  • The company is growing fast, creating real headroom for your own progression.


Hybrid setup: 3 days a week in London with the client.


What they want to see

  • Strong experience shipping data‑driven or analytical solutions into production.
  • Confident leadership of Data Science teams - setting standards, reviewing work, driving quality.
  • Someone who can turn complexity into clarity and win trust with senior stakeholders.
  • A solid understanding of modelling approaches and how to deliver them properly.
  • Experience working in structured, quality‑driven environments.


What you’ll be leading

  • Full‑cycle delivery of high‑value data solutions used across the business.
  • Establishing delivery frameworks, governance, and best practice for the discipline.
  • Partnering with senior leaders to define priorities and shape delivery strategy.
  • Developing Data Scientists and levelling up the team's capability.
  • Ensuring consistency of approach across international teams.


Nice extras (not essential)

  • Postgrad in a relevant field
  • Consulting / professional services background
  • Experience in regulated or operationally complex environments
  • Interest in responsible, well‑governed use of data


Why it’s worth a conversation

  • Seriously impressive growth trajectory
  • Big‑picture influence without losing hands‑on depth
  • Strong L&D culture and clear progression routes
  • Competitive salary + flexibility + a genuinely supportive environment

Related Jobs

View all jobs

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

Data Scientist II - QuantumBlack Labs

MLOps Tech Lead

Head of Data Science

Lead Data Scientist

Lead Data Scientist - Pricing

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.

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.

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.