Future Tech Jobs Future Tech Jobs

Data Scientists (SC Cleared)

Experis
Hayden, Gloucestershire, GL51 0SP, United Kingdom
Today
£620 – £680 pd

Salary

£620 – £680 pd

Job Type
Permanent
Work Pattern
Full-time
Work Location
On-site
Seniority
Mid
Education
Degree
Security Clearance
Required
Posted
1 Jun 2026 (Today)

Benefits

Active SC Clearance
Share
Save job
Create job alert

Applied Data Scientist - AI & National Security Programme

📍 Cheltenham Area - on site

The Opportunity

We are seeking talented Applied Data Scientists to join a cutting-edge programme, supporting UK intelligence clients.

You will be part of a programme focused on artificial intelligence, machine learning, advanced analytics, and modern cloud-native technologies within a highly secure environment.

What You'll Be Doing

As an Applied Data Scientist, you will:

Work on complex challenges across AI, Natural Language Processing (NLP), and Machine Learning

Build, train and deploy models using tools such as:

PyTorch

TensorFlow

scikit-learn

Apply modern data science techniques to real-world, mission-critical problems

Collaborate with engineering teams to deploy scalable solutions using cloud-based tooling

The Environment

You'll be operating within an AI Lab-style model, where:

Teams are encouraged to experiment, prototype, and explore emerging technologies

Requirements evolve-flexibility and curiosity are key

Innovation is prioritised over maintaining legacy systems

New ideas are actively tested and adoptedThis workstream is expected to be one of the most advanced and technically exciting areas within the programme, offering the opportunity to push the boundaries of applied AI in a real-world setting.

What We're Looking For

Strong experience in applied data science, machine learning or AI

Hands-on experience with frameworks such as PyTorch, TensorFlow or sklearn

Experience working with NLP or advanced analytics (desirable)

Ability to move from research and prototyping into production environments

A mindset suited to experimentation, innovation, and continuous learning

Security Requirements

Active SC (Security Check) clearance is required

Must be a UK Sole National due to the nature of the work and client requirements

If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website

Related Jobs

View all jobs

Data Scientist

Opus Recruitment Solutions Nottingham, Nottinghamshire, United Kingdom
£400 – £450 pd On-site

Data Platform Manager

Deerfoot Recruitment Solutions Luton, Bedfordshire, United Kingdom
£70,000 pa Hybrid

Data Platform Manager

Deerfoot Recruitment Solutions Luton, ME4 4NP, United Kingdom
£70,000 pa Hybrid

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech London, United Kingdom
Hybrid

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech Edinburgh, Alba / Scotland, United Kingdom
Hybrid

Data & AI Delivery Senior Manager/Associate Director | Capital Markets

Datatech Manchester, United Kingdom
Hybrid

Industry Insights

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

Products

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.

Jobs

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.

🍪 Basic, anonymous analytics (aggregate counts only, never shared) are always on. Accept to also enable third-party tools — Google Analytics, Microsoft Clarity, Mixpanel, Leadfeeder — which help us match you with relevant Data Science roles. We never sell your data or use it for cross-site advertising. See our Cookie Policy.