Technical Pricing Anlayst

Manchester
2 weeks ago
Create job alert

Technical Pricing Analyst

Remote

Quarterly Office Meet up

Salary up to £45,000 + Package

Are you a skilled pricing analyst with a passion for data, modelling, and delivering commercial impact? This is a fantastic opportunity to join a growing and innovative insurance business where you’ll play a key role in shaping technical pricing strategy for delegated authority products.

We’re looking for a Technical Pricing Analyst who can drive improvements in risk model accuracy, collaborate with cross-functional teams, and help influence strategic decisions across the business.

What You’ll Be Doing:

Take ownership of risk pricing projects, including model builds and regular refreshes across multiple product lines
Collaborate with data teams to ensure high-quality, consistent datasets for modelling
Develop and maintain predictive risk models to support profitable growth
Work closely with Underwriting and Portfolio Management to align risk appetite and innovation with pricing models
Support key commercial projects and act as a pricing subject matter expert (SME)
Present complex findings in a clear, concise way to internal and external stakeholders
Help shape best practice and contribute to the continuous improvement of pricing capabilityKey Skills & Experience:

Previous experience in general insurance pricing (personal or commercial lines)
Skilled in predictive modelling techniques: GLMs, GBMs, Decision Trees, Random Forests, etc.
Proficient in data science tools such as R, Python, SAS, SQL, or PySpark
Familiarity with WTW’s Radar software is highly desirable
A strong academic background in a quantitative subject (e.g. Mathematics, Statistics, Engineering, Computer Science)
Ability to communicate technical analysis clearly to non-technical stakeholdersWho You Are:

1-2 years of experience in Insurance Pricing
A logical thinker with a curious, proactive mindset
Passionate about innovation, efficiency, and continuous improvement
Comfortable working independently or collaboratively as part of a high-performing team
Excellent communicator with the ability to build trust and influence
Please send your CV for immediate consideration

GWV Talent Solutions Limited (trading as Gerrard White Consulting and Vermelo RPO) acts as an employment agency for permanent recruitment and an employment business for the supply of temporary and contract workers. By applying for this job you accept the terms of our Privacy Policy and Terms of Service Agreement which can be found at

Related Jobs

View all jobs

Pricing Data Scientist

Head of Pricing Technology

Data Analyst / Business Analyst – Risk Rating & Pricing

Analytics Manager

Motor Technical Underwriter

Motor Technical Underwriter

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Jobs for Non‑Technical Professionals: Where Do You Fit In?

Your Seat at the AI Table Artificial Intelligence (AI) has left the lab and entered boardrooms, high‑street banks, hospitals and marketing agencies across the United Kingdom. Yet a stubborn myth lingers: “AI careers are only for coders and PhDs.” If you can’t write TensorFlow, surely you have no place in the conversation—right? Wrong. According to PwC’s UK AI Jobs Barometer 2024, vacancies mentioning AI rose 61 % year‑on‑year, but only 35 % of those adverts required advanced programming skills (pwc.co.uk). The Department for Culture, Media & Sport (DCMS) likewise reports that Britain’s fastest‑growing AI employers are “actively recruiting non‑technical talent to scale responsibly” (gov.uk). Put simply, the nation needs communicators, strategists, ethicists, marketers and project leaders every bit as urgently as it needs machine‑learning engineers. This 2,500‑word guide shows where you fit in—and how to land an AI role without touching a line of Python.

ElevenLabs AI Jobs in 2025: Your Complete UK Guide to Crafting Human‑Level Voice Technology

"Make any voice sound infinitely human." That tagline catapulted ElevenLabs from hack‑day prototype to unicorn‑status voice‑AI platform in under three years. The London‑ and New York‑based start‑up’s text‑to‑speech, dubbing and voice‑cloning APIs now serve publishers, film studios, ed‑tech giants and accessibility apps across 45 languages. After an $80 m Series B round in January 2024—which pushed valuation above $1 bn—ElevenLabs is scaling fast, doubling revenue every quarter and hiring aggressively. If you’re an ML engineer who dreams in spectrograms, an audio‑DSP wizard or a product storyteller who can translate jargon into creative workflows, this guide explains how to land an ElevenLabs AI job in 2025.

AI vs. Data Science vs. Machine Learning Jobs: Which Path Should You Choose?

In recent years, the fields of Artificial Intelligence (AI), Data Science, and Machine Learning (ML) have experienced explosive growth. Spurred by the increase in data availability, advances in computing power, and the demand for intelligent decision-making, organisations of all sizes are investing heavily in these areas. If you’ve been exploring AI jobs on www.artificialintelligencejobs.co.uk, you’ve likely noticed that employers use terms like “AI,” “Data Science,” and “Machine Learning”—often interchangeably. While they are closely related, there are nuanced differences between these fields. Understanding these distinctions is key if you’re trying to decide which path suits you best. This comprehensive guide will help you differentiate among AI, Data Science, and Machine Learning. We will discuss the key skills for each, typical job roles, salary ranges, and provide real-world examples of professionals working in these fields. By the end, you should have a clearer idea of where your strengths and passions might fit, helping you take the next step towards securing your ideal role in the world of data-driven innovation.