Data Scientist

CV-Library
Newcastle upon Tyne, Tyne & Wear
14 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Hays Technology London, United Kingdom
£600 – £1,000 pd

Data Scientist

ISR Recruitment Exeter, Devon, United Kingdom
£50,000 – £60,000 pa Hybrid

Data Scientist

Faculty AI London, United Kingdom
Hybrid

Data Scientist

Data Idols Farringdon, London, EC1M 4BJ, United Kingdom
£85,000 – £95,000 pa

Data Scientist

Vallum Associates London, United Kingdom

Data Scientist

Randstad Technologies Recruitment London, United Kingdom
Posted
3 Mar 2025 (14 months ago)
Share
Save job
Create job alert

A growing business in the retail / e-commerce space are looking for a Data Scientist to spearhead the use of Data Science techniques across the business, helping to drive improved business outcomes. This role is home-based, with travel to their office near Newcastle upon Tyne once per month to socialise with your team (expenses-paid).

This is a new role, where you will be the company's sole Data Scientist as part of a small and growing data team, reporting directly into the Head of Data and AI.

The core of the role will be developing and deploying Machine Learning models, which will be integrated into various platforms including their website, to allow for better customer personalisation and product recommendations etc.

You will also implement ML Ops, will leverage AI tools such as Copilot to improve efficiency, and will work closely with the Data Engineers to ensure the successful integration and scaling of your solutions within their data infrastructure.

They work on an AWS tech stack, but are open to seeing candidates from Azure backgrounds too, as long as you have experience leveraging Databricks as this is a core part of their tech stack.

This is a brilliant opportunity for a Data Scientist to make a tangible impact to a business who are really investing in their data capabilities!

Requirements

Experience developing and deploying machine learning models
Skills in Python, SQL and ML frameworks such as TensorFlow, PyTorch or scikit-learn
Hands-on experience with Databricks (either on AWS or Azure)
Understanding of ML Ops principles is beneficial
Confident working independently and a can-do attitude Benefits

Salary up to £60,000 depending on experience
22 days annual leave plus bank holidays (rising to 25 days over time)
Enhanced Maternity and Paternity leave policy

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.