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Featured Jobs
AI Research Engineer, PhD
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...
Cambridge
Forecasting Demand Planner
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...
Airmyn
AI Engineer - Data Science
causaLens delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders like Cisco, Johnson & Johnson, and Canon, causaLens empowers teams to achieve insights 10x faster at 1/10th the cost, with guaranteed...
causaLens
City of London
Senior AI Engineer
London– Senior AI Engineer - £60 – 80k – AI AnalyticsMy client is a leading developer of AI analytics platforms that work with some of the biggest companies in the market. They provide specialist data analytics on niche, groundbreaking technical projects. They are looking for a Senior AI Engineer to join their expanding development team.Main Duties:Developing and implementing AI algorithms.Identifying...
Holborn and Covent Garden
Senior Data Scientist
Explore AI/ML solutions to tough physics problems in the Defence domainThis research team is looking for an experienced engineer or post-doctoral scientist to help them explore the use of modern ML techniques for solving problems across defence related domains such as RF, edge AI and AI security. They work collaboratively within their team as well as with other teams working...
London
Senior Data Scientist
🤖 AI Data Scientist / MLE 🤖Multiple Roles Available from Senior➡️ Lead ➡️Associate DirectorJoin a Global Leader in Management Consulting as they scale their UK AI Expert Team💸 £70k - £120k & bonus📍 100% Remote / UK / Global / UAE✈️ Relocation to Dubai or Abu Dhabi supportedWe are currently partnered with a globally recognized management consulting firm at the...
Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era.
This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.
Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths.
Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.
Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.
Trying to land your next data-science role? Avoid the ten most common mistakes UK candidates make—complete with practical fixes, expert tips and vetted resources to help you secure that offer.
Introduction
From real-time analytics teams in London fintechs to AI research labs in Cambridge, demand for data-science talent has never been hotter. Yet recruiters scanning CVs on boards like DataCareer’s UK data-engineering & data-science feed still reject most applicants long before interview—usually for mistakes that take minutes to fix.
Below you’ll find the ten costliest errors we see, each paired with an actionable remedy and a trusted link for deeper reading. Bookmark this checklist before you press Apply.
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.
Learn how to craft the perfect cover letter for data science jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the data science sector.
When applying for a data science job, your cover letter is an essential part of your application. The data science field is highly competitive, with many candidates vying for the same roles. Your cover letter allows you to showcase your technical expertise, analytical skills, and your ability to apply data to solve real-world problems. It’s the perfect opportunity to demonstrate your passion for data and your understanding of how it can drive meaningful insights for an organisation.
Whether you're new to data science, making a career switch, or looking to advance your skills, this article will guide you through a proven four-paragraph structure to craft a compelling cover letter. We’ll provide sample lines and tips to help you stand out in the highly competitive data science job market.
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