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

Apply Now

Data Wrangler/Data Scientist

University of Oxford
Oxford
9 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist - Marketing Data

Head of Machine Learning - DTG Capital Markets

Data Scientist

Data Scientist

Data Scientist / Quant Engineer

Big Data Institute, Li Ka Shing Centre for Health and Information Discovery, Old Road Campus, Headington, Oxford, OX3 7LF The Big Data Institute at the Nuffield Department of Medicine is looking to appoint a Data Wrangler/Data Scientist to manage and curate the unique, highly multi-dimensional data available from the Oxford–Novartis Collaboration for AI in Medicine. The Oxford-Novartis Collaboration for AI in Medicine is a unique large-scale partnership between the Big Data Institute (BDI) and the international pharmaceutical company Novartis. Now in its 7th year, it is a research alliance that aims to improve drug development by making it more efficient and more targeted. Using artificial intelligence and advanced analytics and decades’ worth of Novartis clinical trial data, the partners expect to transform how ultra large and multiple datasets are analysed, combined and interpreted to identify early predictors of patient responses to treatments for multiple sclerosis. To be successful in this role you will be educated to degree level in Life Sciences, Computational or equivalent. You will have experience in programming (with Python or R), bioinformatic techniques, data management and / or relational databases. You will be able to manage own workload and project manage a team of data scientists. Having experience in clinical trial data management and capable of working under pressure at times to meet deadlines is essential for this role.

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.