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

Apply Now

Pricing Modeller - Insurtech

Harnham
Bristol
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Pricing

Pricing Technology Lead

Pricing Technology Lead

Pricing & Data Science Manager - Fully Remote

Pricing & Data Science Manager - Fully Remote

Pricing & Data Science Manager - Fully Remote

SENIOR PRICING ANALYST - INSURANCE

£60,000

LONDON (remote option available)

Really exciting role here with a small and dynamic Insurtech who are going through an exciting period of change. This role offers the chance to own their end-to-end model process, working in a fast-paced and challenging environment where you can take ownership for business performance.

THE COMPANY

This business are a lean and focused Insurtech who are starting to expand their market share. They have a small and close-knit team and are now looking to add a driven and motivated candidate to help them in a variety of projects, with pricing modelling at the core. They offer a fast-paced and data-focused environment where no two days will be the same!

THE ROLE

You can expect to:

  • Develop cutting edge pricing models using Python and Machine Learning techniques
  • Work on end-to-end ownership of these models, including work on implementation, deployment and enhancement
  • Analyse large sets of customer data to drive insight and commercial performance
  • Share insight with the wider team and helping to improve profitability across the business on ad hoc project work

YOUR SKILLS AND EXPERIENCE:

  • At least 2 years prior experience in pricing analytics within insurance
  • Good knowledge of Python is essential
  • Prior model development experience is essential, GBM experience is desirable
  • Strong communication skills and desire to learn is key

SALARY AND BENEFITS

  • Up to £60,000 base salary
  • Discretionary bonus scheme
  • Contributory pension scheme
  • Remote-based work model
  • 25 days holiday

HOW TO APPLY

Please register your interest by sending your CV to Rosie Walsh through the ‘Apply’ link

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.