Lead Data Scientist

London, United Kingdom
3 weeks ago
£80,000 – £125,000 pa
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist

Technify Talent Limited United Kingdom
£80,000 – £90,000 pa Remote

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
Hybrid

Lead Data Scientist - Financial Crime

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£85,000 – £110,000 pa Hybrid

Lead Data Scientist - FinCrime

Data Idols Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£95,000 – £120,000 pa Hybrid

Salary

£80,000 – £125,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Lead
Education
Degree
Posted
30 Apr 2026 (3 weeks ago)

Lead / Principal Data Scientist

TRAVEL ACROSS THE UK REQUIRED

This is a great opportunity to join a growing consultancy and lead digital, AI, and analytics solutions that deliver real operational impact across the UK.


The Company
They are a specialist consulting organisation that helps complex public and private sector clients improve performance through data, AI, and digital tools. Their culture is collaborative, outcome focused, and built around delivering practical solutions that stick. With digital capability expanding rapidly, you will help shape how they deliver technology driven change.


The Role
* Identify opportunities to apply AI, analytics, and digital tooling.
* Lead technical workstreams from design through to implementation.
* Work closely with client teams on site across the UK.
* Translate technical concepts for non-technical audiences.
* Support the development of colleagues and digital practices.


Your Skills and Experience
* Strong commercial experience delivering digital or AI solutions end to end.
* Expertise in at least one of AI, data science, analytics, or digital engineering.
* Confident leading multi-disciplinary teams.
* Clear communication and stakeholder engagement skills.
* Flexible to travel to client sites across the UK.

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.