Data Scientist

Newcastle upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Supply Chain Optimisation

Data Scientist - UKIC DV Clearance Required

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.