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

Apply Now

Senior Insurance Data Analyst – Cyber

Clerkenwell
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (UK)

Lead Data Scientist

Lead Data Scientist

Data Scientist - Retail Price Optimisation - Motor

Data Scientist - Risk Analysis

Machine Learning Engineer – AI for Grid Innovation & Energy Transition

Senior Insurance Data Analyst – Cyber!

Are you an experienced Data Analyst eager to make a significant impact in the insurance industry? Our client, a leading provider of an AI-driven insurance analytics platform, is in search of a Senior Insurance Data Analyst to enhance their cutting-edge solutions. This is an exciting opportunity to work with a diverse range of insurance providers across the UK and US, primarily in the Property and Casualty (P&C) sector.

Our client offer an innovative environment where you’ll work with industry leaders and a top-tier analytics platform. You’ll be contributing to impactful work, playing a pivotal role in refining methodologies for data retrieval and analysis.

Key Responsibilities:

  1. Lead methodology refinement for retrieving cyber fraud and claims data from significant providers, including The Office of National Statistics.

  2. Extract and analyse large-scale data sets to derive meaningful insights.

  3. Present findings and recommendations to key stakeholders in client organizations to support informed decision-making.

    Key Experience Requirements:

  4. Proven consultancy experience within the insurance data sector.

  5. Strong educational background in Mathematics or a related field from a leading university.

  6. Expertise in data analysis techniques, particularly in cyber fraud within the insurance industry.

  7. Proficiency in data visualization tools and presentation skills to communicate complex insights effectively.

  8. Ability to work collaboratively with diverse teams and manage multiple projects under tight deadlines.

  9. Bachelor's degree in Mathematics, Statistics, Data Science, or a related discipline.

  10. Strong analytical problem-solving skills and attention to detail.

    Ready to Elevate Your Career?

    If you are a driven professional looking to leverage your skills in a fast-paced, innovative environment, we want to hear from you! Apply now to join a dynamic team at the forefront of insurance analytics.

    Keywords: Senior Insurance Data Analyst, Cyber Fraud, Data Analysis, AI-driven Analytics, Property and Casualty, Consultancy Experience, Data Retrieval, Insights Presentation, Mathematics Degree, Insurance Analytics

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

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.

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.

🍪 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.