Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

ISR Recruitment
Bristol
1 week ago
Create job alert
  • Data Scientist
  • Initial 6-month contract
  • £475 to £500 per day
  • Outside IR35
  • Remote Working (+ occasional site visits)


The Opportunity

ISR are supporting a major UK Government Agency seeking an experienced Data Scientist to help shape and expand their data and analytics capabilities.


You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges.


This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping to deliver better outcomes for the general public through data-driven insights.


NB: Candidates must be eligible for BPSS security clearance which will be processed following successful interviews (normally takes between 7 and 14 days).


Skills and Experience

  • Proven experience in data science and analytics, ideally within government or regulated sectors.
  • Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning.
  • Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services).
  • Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment.
  • Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query.
  • Experience in data pipeline automation and data governance in large-scale environments (Desirable).
  • Familiarity with modern AI frameworks and open-source toolkits (Desirable).


Role and Responsibilities

  • Design and implement data models and pipelines to support advanced analytics and reporting.
  • Apply machine learning, natural language processing (NLP), and AI models to derive meaningful insights from complex datasets.
  • Work closely with Data Engineers, Software Developers, and Analysts to build and optimise data workflows.
  • Integrate multiple data sources, ensuring data quality, consistency and alignment with government standards.
  • Support the design, validation, and continuous improvement of analytical models, contributing to long-term data strategy.


Applications:

Please call Edward here at ISR on 07436 071 872 to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.