Data Science Jobs That Transform the World.

Discover jobs:
£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

£45,000 pa On-site Permanent

Senior MI & Data Insights Analyst

This role involves leading the design and governance of MI frameworks, dashboards, and analytics to support strategic, operational, and regulatory goals. The Senior MI & Data Insights Analyst will work closely with senior leadership and finance teams to deliver high-impact analysis, root-cause investigations, and support critical business decisions. They will also enhance the voice analytics platform, ensure regulatory compliance, and drive automation in reporting processes.

Aioi Nissay Dowa Europe

Forest Hall, Tyne & Wear, NE12 9EZ, United Kingdom

£95,000 – £110,000 pa Permanent

Data Lead | Energy |to| Bonus

The Data Lead will own the strategic direction and day-to-day leadership of the data function, including defining the data strategy, leading a team of 12, and turning data into a commercial asset. The role involves partnering with various teams to drive adoption of AI and automation, ensuring data governance, and scaling the data function as the company grows.

Opus Recruitment Solutions

Chiswick, London, W4 5PS, United Kingdom

£800 – £850 pd Hybrid Contract Flexible

Forward Deployed Engineer

As a Forward Deployed Engineer, you will work directly with clients to understand their business challenges and translate them into scalable AI solutions. You will design, deploy, and iterate on AI systems in real-world environments, acting as a trusted technical partner and bridging the gap between product, engineering, and customer teams.

VIQU IT

London, United Kingdom

£20 – £25 ph On-site Temporary

Business Change Analyst

The Business Change Analyst will support a provider collaborative data warehouse project by gathering, specifying, and documenting business and data requirements. Key responsibilities include analysing reporting outputs, translating business needs into clear documentation, and supporting project meetings and governance processes. The role involves working closely with stakeholders to ensure the data warehouse meets business and performance needs.

Huntress - Maidstone

Cambridge, Cambridgeshire, United Kingdom

£40,000 – £60,000 pa On-site Permanent

Analytics Engineer

The Analytics Engineer plays a crucial role in the Maritime Transport division, bridging the gap between raw data and actionable insights. Responsibilities include designing and maintaining scalable data pipelines, ensuring data quality, and collaborating with stakeholders to deliver data solutions that support business objectives and strategic decision-making.

James Fisher & Sons

Seething, Norfolk, United Kingdom

Hiring?
Discover world class talent.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

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.

Data Insights, Career Impact

Your Central Hub for Data Science Careers

Connecting data science professionals with data-driven companies to unlock the power of data.

Job Seekers:
Find impactful data science projects and advance your career across diverse industries. Find your next role in data analysis, machine learning, big data, and more.
Precise Talent Acquisition:
Build a high-performing data science team with access to top talent skilled in the latest technologies. Post your Data Science jobs with us.
Image representing Data Science Jobs