Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.
Apply NowStop endlessly searching. We'll send you relevant jobs directly to your inbox.
Receive alerts for jobs that match your skills, experience, and career goals.
Be the first to apply with instant email alerts for new job postings.
Data Scientist (Fintech, Nottingham) Location: Nottingham (4 days per week in office) Salary: £55,000 - £65,000 (DOE) Client: High-growth Fintech The Role You’ll be joining a lean, high-performing data science team of three, in a Fintech that’s making serious moves in financial services. This role is about end-to-end ownership. From spotting opportunities to deploying models that stick, you’ll need to...
Experienced Data Scientist 12 month contract TBC Market Rate - Depending on experience level IR35 Status Outside TBC Hybrid/Remote (UK Right to work) with Travel to London Experienced Data Scientist working on a new initiative to build and deploy a modelling solution to predict & optimise advertising campaign performance as part of a productionised, customer-facing SaaS product. Ideally looking for...
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...
Data Scientist 3 Days On Site. Our client is a global leader in enterprise management software solutions, specialising in helping businesses across the retail and consumer services sectors to optimise operations, manage data, and drive customer loyalty. They are seeking a talented Data Scientist to analyse complex datasets, develop predictive models, and deliver actionable insights that support their cutting-edge solutions....
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...
Junior Data Scientist / Data Engineer London (Hybrid - 2 Days in Office per Week) Permanent - £60,000 Ready to grow your career in data science? This is a greenfield opportunity in the media tech space - perfect for someone early in their data career who wants to build, not just maintain. You'll be involved from day one, shaping systems...
Advance your Data career with expert advice, practical job search tips, and insightful industry guides.
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.
The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.
Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.
The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.
