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Featured Jobs
Data Scientist
Data Scientist - data and analytics +6 months +Fully remote working +Inside IR35 +£450 - £525 a day We're looking for an experienced Data Scientist to play a key role in turning complex data into clear, actionable insights. You'll be responsible for the full data lifecycle - from collection and cleaning to analysis, modelling, and communication of findings - ensuring...
CBSbutler Holdings Limited trading as CBSbutler
City of London
Data Scientist (Optimisation)
Senior Data Scientist / Optimisation / £70K – 90K / London (Hybrid / 2 days in office) A fast-growing UK start-up is looking for a Senior Data Scientist expertise in mathematical optimisation and strong engineering skills. This is a chance to own projects end-to-end, from framing complex business problems to deploying production-ready solutions that drive real-world impact. What you’ll be...
Vivo Talent
London
Data Scientist - Tax & Legal
Job Title: Data Scientist Location: London Salary/Rate: Up to £620 per day inside IR35 Start Date: 10/11/2025 Job Type: Contract Company Introduction We are looking for a Data Scientist to join our Data and AI Team supporting internal service delivery transformation projects across Tax and Legal. You will be a Python and Azure expert in designing and building cutting-edge generative...
Square One Resources
London
Data Scientist - Outside IR35
2x Data Scientist £475 - £500 outside IR35 p/d 6 months initial - likely to extend Once a week into London SR2 are supporting a major cross-government digital initiative focused on transforming how citizens interact with government services through AI. The team is developing an intelligent tool that understands when a user requires human assistance and seamlessly connects them to...
SR2
London
Data Scientist - AI Agents - Remote - Outside IR35
This is a fantastic opportunity to work as a Data Scientist for a major pharmaceutical company, on a remote basis, outside IR35. The key skills required for this Data Scientist vacancy are: AI Agents AWS Pharma (desirable) Clinical (desirable) If you do have the relevant skills for this Data Scientist vacancy, please do apply
The Bridge IT Recruitment
Elephant & Castle
Data Scientist
Data Scientist – B2B SaaS (Price Optimisation for Retail Banks) A fast-growing, profitable B2B SaaS company is looking for an ambitious Data Scientist to help advance its price optimisation platform used by major retail banks. Their software guides mortgage and savings pricing decisions, delivering millions in additional revenue for clients. With a strong UK & Ireland client base and a...
Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products.
Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.
Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills.
Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility.
In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.
Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance.
If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.
Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge.
The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.
Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation.
But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems.
The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.
Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging.
But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.
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