About the RoleWe're hiring an AI Automation Analyst (Power Platform) to join a digital and data team at the heart of business transformation. This is a hands-on role focused on delivering low-code automation and integrating emerging AI tools to create smarter, more efficient workflows.You'll work closely with operational teams and senior leaders to turn manual or inefficient processes into intuitive,...
Zenith Training is the fast-growing learning and development division of Zenith People. We work across various sectors, integrating strategic thinking with innovative training to help businesses deliver their strategy and future growth across the North East. As an Ofsted Rated Good provider and ISO 9001:2015 certified organisation, we’re committed to maintaining the highest standards of quality and continuous improvement in...
Job Title: AI Research EngineerLocation: Cambridge, UKSalary: Competitive, depending on experienceJob Type: Full-time | PermanentDepartment: Artificial Intelligence / Research & DevelopmentRole OverviewWe are looking for a talented and driven AI Research Engineer to join our growing team in Cambridge. This role is ideal for individuals with a strong foundation in machine learning or data science who are passionate about advancing...
AI Engineer - ManchesterMy client is embarking on a transformative journey and is seeking their first AI Engineer to lead the exploration, development, and integration of artificial intelligence solutions across the business. This is a rare greenfield opportunity to define how AI can drive automation, efficiency, and enhanced customer experiences in a fast-moving financial services environment.As the AI Engineer, you...
FORECASTING DEMAND PLANNER / DATA ANALYSTLocation: GoolePay rate: £14.40 - £15.86/hr (equivalent to £(phone number removed)/annum) - negotiableType of role: contract (with an opportunity of role to become permanent with 6-12 months)About CompanyOur client is a prominent railway infrastructure company committed to excellence in the rail industry. We are currently seeking a highly organized and detail-oriented Forecasting Demand Planner/Data Analyst...
Air Traffic Data EngineerLocation:Cramlington, Northumberland Salary:£28,000 negotiable DOEHours:35 hours per week (flexible)Monday–Thursday: 8.30am–5.00pm (1-hour lunch)Friday: 8.30am–1.00pmJoin a Business That Keeps the Skies MovingAre you ready to take your engineering skills to the next level in a role that supports the smooth operation of air traffic systems across the globe? This is an opportunity to join a forward-thinking technology company delivering...
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Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.
Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.
Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.
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