Data
What Does a Data Engineer Do?
A Data Engineer builds and maintains the systems and pipelines that collect, store and prepare data for analysis, reporting and AI. Every time a business needs to combine customer information, update a reporting dashboard or supply data to a machine learning model, that information has to move between systems accurately and consistently. Data Engineers make…
Read MoreHow to Become a Data Engineer
The more companies invest in AI, the more they need people who can make their data usable in the first place. Data Engineers build the pipelines, platforms and infrastructure that get data where it needs to go, making the role a critical part of everything from analytics to machine learning. If you want to move…
Read MoreHow Much Does a Data Scientist Make?
Data Scientist salaries vary considerably by location, experience, sector and technical expertise. In the UK, salaries commonly range from £40,000 to £90,000+, with entry-level roles starting below this and senior positions exceeding it. Junior roles can start below £30,000, while senior specialists reach £70,000 to £95,000 and senior leads can exceed £100,000. The reason is…
Read MoreWhat Does a Data Scientist Do?
A Data Scientist turns data into decisions. They use statistical analysis and machine learning to find patterns, build predictive models and help organisations act on what the data shows. They work at the analysis and modelling stage of the data process, taking data prepared by engineering pipelines and using it to investigate questions, test hypotheses…
Read MoreHow Much Does a Data Engineer Make?
Data Engineers in the UK typically earn between £31,000 at junior level and £100,000+ in senior and lead roles. Current UK vacancy data puts the median salary at around £70,000. In the US, Indeed reports an average Data Engineer base salary of around $137,000, with salaries ranging from approximately $88,000 to $212,000. Higher salaries come…
Read MoreHow to Become a Data Scientist
Becoming a Data Scientist is one of the most education-led routes in technology. It usually starts with a degree in a quantitative or STEM subject, followed by postgraduate study and hands-on experience working with data. Data Science leans on formal education more than most technology careers. More than 80% of Data Scientists hold a master’s…
Read MoreData & Analytics Hiring Trends: Market Insight
Data & Analytics Hiring Trends How working models, technology choices, and assessments are changing hiring These data and analytics hiring trends reflect how working patterns, technology choices, and assessment methods are changing across analytics roles, based primarily on hiring activity with Northern-based clients. While many of these trends are not exclusive to the North, they…
Read MoreHow Analytics Teams Drive Value Creation in Growth-Stage Portfolio Companies
Analytics teams support value creation in growth-stage portfolio companies by improving revenue quality, margins, cash flow, and decision discipline. For private equity and venture capital firms operating in a higher-interest, lower-multiple environment, analytics is now a core input into value creation planning rather than a supporting capability. This article explains where analytics contributes most directly…
Read MoreDownload ‘How to Hire in AI’: Our AI Hiring How-to Guide
In a landscape dominated by discussion of AI, companies can find it hard to navigate the marketplace. Sign up below to download our “AI Hiring How-to Guide”:
Read MorePréparer Son Entretien de la Meilleure des Manières (FR)
A recruiter talking about interview preparation? Yes, another speech about the importance of preparing, but before closing this article, let me explain why it could really make a difference. Preparing for an interview may seem simple, but it’s easy to forget the basics and overlook essential rules. We’ve all been in a situation where a…
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