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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

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

Senior Business Analyst - Insurance

Join one of the most prominant organisations within Insurance Broking as a Senior Business Analyst. In a role that focuses on a varied change portfolio within a large retails insurance division, you will support and introduce changes to business processes and systems delivering projects of different sizes and complexity including, but not limited to digital, regulatory, data transformation, system enhancements,  ...

Manchester
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Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

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