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Featured Jobs

Strategy Intern (Capital Markets) - 3 months

About the CompanyCruxy & Company is a leading tech-enabled growth specialist firm specialising in innovative and data-driven solution for the B2B technology and software space. We pride ourselves on our dynamic team, product/market specialism and cutting-edge analytical methodologies to solve complex growth challenges. Our mission is to empower clients with actionable insights and robust growth strategies.The RoleThis is not an...

Cruxy
London

Flight Data Analyst

Flight Data AnalystOn site 5 days/Shift pattern£30,000 - £35,000 + OvertimeCapgemini are looking to recruit a Flight Data Analyst to join our team based in Brize Norton.Job PurposeSupport the A400M maintenance by capturing and transferring into MDS (Maintenance Data System) the maintenance information generated by the Part 145 during a mission. This covers the period prior to the aircraft departure...

Carterton

Clinical Research Specialist (Contract)

Clinical Affairs SpecialistPosition SummaryWe are seeking a passionate and experienced self-employed/freelance Clinical Affairs Specialist in the Medical Device Industry. In this role, you will be involved in designing, planning, implementing, and managing clinical research projects to ensure compliance with protocols, SOPs, and regulations. This position requires an enthusiastic self-starter who is eager to contribute hands-on and possesses excellent organizational and...

Cork

Environmental Risk Modeller

Environmental Risk Modeller Location: Cambridge, Cambridgeshire (Hybrid)Salary: 60-85kJob Type: Full-time, PermanentAbout the Role We are seeking a quantitative modeller to support the development of climate physical risk and nature modelling efforts for an innovative and fast-growing organisation. The successful candidate will be responsible for quantifying the impacts and dependencies of businesses on climate and nature, working alongside a talented team...

Cambridge

Head of Operations / General Manager - SME Software Co

Are you a strategic leader with a passion for operational excellence?Do you thrive in an environment where success is driven by commitment, innovation, and putting the customer first?Ready to join a trusted Award Winning Software tech brand?Whilst we’ve experienced 200% Customer Business Growth we know the true potential of our market and we’d love to bring you on to the...

Peterborough

Database Administrator (DBA) - Leeds - £80k - £120k

Database Administrator (DBA) - Leeds - £80k - £120kMy client are undergoing an exciting project, building out there data practice with the wider support and backing of the established business over in the US. If you are an experienced SQL DBA with Azure exposure and enjoy a fast-paced start-up feel, this is a great fit for you.Salary & BenefitsCompetitive salary...

City of London
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Industry Insights

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Jobs Careers

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Careers

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Jobs

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.

Careers

Career Paths in Data Science: From Entry-Level Analysis to Leadership and Beyond

Data is the lifeblood of modern business, and Data Scientists are the experts who turn raw information into strategic insights. From building recommendation engines to predicting market trends, the impact of data science extends across virtually every industry—finance, healthcare, retail, manufacturing, and beyond. In the UK, data-driven decision-making is critical to remaining competitive in a global market, making data science one of the most sought-after career paths. But how does one launch a career in data science, and how can professionals progress from entry-level analysts to senior leadership roles? In this comprehensive guide, we’ll explore the typical career trajectory, from junior data scientist to chief data officer, discussing the key skills, qualifications, and strategic moves you need to succeed. Whether you’re a recent graduate, transitioning from another technical field, or an experienced data scientist aiming for management, you’ll find actionable insights on forging a successful career in the UK data science sector.

Jobs

Job-Hunting During Economic Uncertainty: Data Science Edition

Data science has become essential for modern businesses, enabling data-driven decisions that enhance efficiency, profitability, and strategic foresight. From predictive analytics in finance to recommendation engines in retail, data scientists sit at the crossroads of statistics, programming, and domain expertise, building models that translate raw information into tangible insights. Yet, when broader economic forces create uncertainty—through market downturns, shifting investor priorities, or internal budget constraints—data science roles can experience increased scrutiny, competition, and extended hiring cycles. Despite these pressures, data-driven approaches remain crucial to organizations looking to weather challenges and find opportunities in volatile environments. Whether you’re refining advanced machine learning techniques, fine-tuning data pipelines, or collaborating with business stakeholders on dashboards, your skill set is often still in demand. The key is adapting your job search strategy and personal branding to cut through the noise when fewer roles may be available. This article explores: Why economic headwinds affect data science hiring. Actionable strategies to stand out in a tighter job market. Ways to emphasize your technical and soft skills effectively. Techniques to maintain focus and resilience despite potential setbacks. How www.datascience-jobs.co.uk can help you secure the ideal data science position. By combining strategic thinking, polished communications, and adaptability, you can land a fulfilling data science role that leverages your expertise—even if the market feels more demanding.

Careers

How to Achieve Work-Life Balance in Data Science Jobs: Realistic Strategies and Mental Health Tips

Data science has quickly emerged as one of the most influential fields in the modern workplace, shaping how businesses make critical decisions and expanding our understanding of everything from consumer behaviour to public health trends. As the global demand for data insights continues to rise, companies of all sizes are seeking professionals who can effectively harness analytics and machine learning to drive innovation. Yet, this promise of limitless opportunity comes with significant challenges. Data scientists often grapple with large volumes of complex data, tight project deadlines, cross-functional collaboration, and constant upskilling. Amid the excitement of discovering actionable insights and developing high-performing models, many wonder if it’s truly possible to maintain a healthy work-life balance. With the field evolving at breakneck speed, the intensity of these roles can leave even the most passionate data professionals drained and questioning how to protect their personal well-being. This article delves into the reality of high-intensity data science jobs, offering practical guidance on setting realistic expectations and preserving mental health. We’ll look at common pitfalls like burnout and perpetual “always learning” pressure, while also highlighting proven strategies for boundary-setting and effective time management. Whether you’re a seasoned data architect, an aspiring machine learning engineer, or somewhere in between, you’ll find actionable tips to help you manage your career trajectory without sacrificing your personal life.

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