Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist | AI

Nicholson Glover
London
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist | Health

Research Data Scientist | Barts Health NHS Trust

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist | AI Tech Scale-Up | London/Hybrid | Up to £90,000 DOE + Equity


We are excited to be working with a rapidly growing AI Tech Scale-Up looking to expand its team with a talented Senior Data Scientist!


About the Company


This innovative company offers an advanced enterprise platform that delivers predictive analytics and provides actionable insights powered by AI. These insights drive real improvements in business performance for top-tier clients across sectors such as asset management, banking, retail, supply chain, telecoms, utilities, and more.


The Role


As a Senior Data Scientist, you will be pivotal in developing AI-powered models and decision-making applications using their cutting-edge technology. You will work closely with a diverse team of researchers, engineers, and executives, collaborating directly with clients to address their most critical business challenges.


Key Responsibilities:

  • Develop AI-driven models that solve real-world business problems.
  • Collaborate with cross-functional teams and clients to deliver impactful solutions.
  • Translate complex data insights into clear actions that drive business outcomes.


What We're Looking For:

Ideal candidates will have the following qualifications:

  • A minimum of 3 years of experience in a commercial data science role.
  • Excellent communication skills, with the ability to present complex ideas to both technical and non-technical stakeholders.
  • Experience in industries such as Retail, Supply Chain, Financial Services, Telecoms, Public Sector, or similar.

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.