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

Apply Now

Senior Data Scientist/ Senior Risk Scientist

Adecco
Bristol
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Risk

Senior Data Scientist

Senior Data Scientist - Pricing

Senior Data Scientist

Senior Data Scientist - Data.One

Senior Data Scientist

Senior Risk Scientist Opportunity in Bristol, UKLocation: Bristol, UK (Hybrid 2 days in the office)Permanent roleSalary: £80,0000-£95,000 dependant on experienceAbout the Company:My client is a leading player in the cyber reinsurance industry, focused on innovative solutions to manage and mitigate cyber risks. Utilising cutting-edge technology and data analytics, they develop proprietary models that drive the business forward.The Role:Seeking an experienced and highly skilled Senior Risk Scientist to join the dynamic team in Bristol. In this crucial role, you will be at the forefront of developing and refining proprietary cyber risk model, Cybertooth. If you have a strong background in large-scale stochastic model development, high-performance scientific computing, and expertise in statistical modelling and probability, this could be the perfect opportunity for you.Key Responsibilities:Contribute significantly to the development and enhancement of Cybertooth, ensuring its reliability in assessing cyber risks.Collaborate with cross-functional teams to integrate new data sources and methodologies.Conduct advanced statistical analyses, industry threat assessments, and reporting to support cyber risk evaluation.Optimise the computational performance and scalability of Cybertooth simulations.Provide technical leadership and mentorship to junior team members.Stay informed on the latest advancements in cyber risk measurement, data ...

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

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.

Jobs

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.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

🍪 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.