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Join a dynamic tech company at the forefront of data and AI innovation as they work with Hays to add a skilled Data Scientist to deliver impactful analytics solutions and collaborate with clients across diverse industries. Based close to Belfast City, this company has an excellent reputation and offers a work environment that fosters progression. Do you have strong Python...
I am recruiting for a Palantir Data Scientist to work mostly remote with travel to Maidenhead 4-5 times a month. The role falls inside IR35 so you will be required to work through an umbrella company. You will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such...
CK Group are working in partnership with a leading UK life sciences biotechnology company, to recruit for an experienced NGS Biostatistician at a Principal Scientist level to join them at their site based in London, on a permanent basis. Primarily site based, there is flexibility of hybrid working. A key role for the company as the successful candidate will be...
Role: Data Scientist Location: London Hybrid (4days on-site) Salary: £60,000 to £70,000 + Benefits This is more than just a data science role, it’s a chance to join a global organisation that believes learning happens through doing. With a network that spans continents and a community representing over 140 nationalities, this is a place where innovation, diversity, and impact come...
Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced Data Scientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations. Key Responsibilities Deliver high-quality data science and analytics...
Requirements: Experience: 3-4 years Ability to analyse findings and requirements Ability to understand MI governance (thresholds, KPIs, KRIs, definitions) PM supporting in the preparation of governance meetings decks and chasing agreed actions Develop potential IT requirements to address local findings. Support testing the fixes in pre and pro environments and gather evidences Strong Excel skills as will be doing data...
Advance your Data career with expert advice, practical job search tips, and insightful industry guides.
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.
Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.
