Senior Data Scientist – London

Oxford Knight
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Data Science Consultant

Senior Data Scientist

Senior RF Data Scientist / Research Engineer

Senior Machine Learning Engineer (Recommendation)

Senior Machine Learning Engineer

Summary:

A globally leading technology firm are looking for a hands-on, engineering and data-focussed Senior Data Scientist to join their engineering team in London. Working in a heavily data-driven role, with platforms that can handle over 15 million queries/ second and multiple petabytes of data, the successful Senior Data Scientist will be joining a highly agile, London-based engineering team. The successful Senior Data Scientist will be working very close to the business, and directly collaborating with engineers, product managers, researchers in an end-to-end role that will involve design, architecture, development and delivery.

Requirements:

MSc or BSc in Computer Science, AI, ML, Mathematics, Physics or related hard science subject Commercial experience as a Data Scientist Interest and / or experience working with NLP, Machine Learning, graph mining, algo optimization, causal inference, etc. is beneficial Programming experience with Python, Scala, Java, or strong knowledge of another OO or functional language Experience with AWS, Spark, SQL

Benefits:

Market-leading base salary and restricted stock units Market-leading benefits package Hybrid in office (London) and work-from-home environment

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.

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Careers

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.

Jobs

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.

🍪 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.