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£41,574 pa On-site Contract Part-time

Performance Data Engineer/Scientist

Department and salaryDepartment - Sport System Institute ServicesSalary - £41,574.01 – £44,535.11 (pro rata)Working Hours - 4 days (30 hours)Type of Contract - 1 year fixed termLocation - Sport Wales National Centre, CardiffWhat you’ll needWe...

Sports Wales

Sports Wales

Cardiff, United Kingdom

£39,602 pa Hybrid Permanent

Data Developer

Data DeveloperWidnes, Cheshire - Hybrid Working£39,602 per annumPermanent, Full Time37 hours per weekThe Data Developer plays a critical role at Halton Housing, a forward‑thinking organisation managing over 7,000 homes with around 330 colleagues, where innovation...

Halton Housing

Widnes, Cheshire, WA8 0RP, United Kingdom

£500 pa On-site Contract

Microsoft Fabric BI Developer

Microsoft Fabric BI Developer – ContractGuildford, Surrey. Full-time, inside IR35.Standard 8 is working with a regulated, engineering-led business looking for someone to take full ownership of its data platform and reporting. This is a genuinely...

Standard 8 Recruitment Ltd

Guildford, Surrey, United Kingdom

£40,000 – £70,000 pa Hybrid Permanent Flexible

Computer Vision Engineer

Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric...

Faculty AI

Faculty AI

London, United Kingdom

£40,000 – £60,000 pa Hybrid Permanent

Fabric / BI Developer

Data Engineer / BI Specialist (Azure & Microsoft Fabric)Ready to turn complex data into real business impact? Join a forward-thinking organisation where you’ll take ownership of a modern Azure & Microsoft Fabric data platform—driving powerful...

IT Talent Solutions

Guildford, Surrey, United Kingdom

£40,000 – £60,000 pa Hybrid Permanent

Data Manager

Data Manager - GCPWe are looking for an experienced Data Manager to lead a high-performing Data Engineering team building scalable data and reporting platforms used by global stakeholders.In this role, you will guide the development...

Uniting Ambition

United Kingdom

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Career Advice

Advance your Data career with expert advice, practical job search tips, and insightful industry guides.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

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