National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Underwriter

Manchester
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Underwriter

This is a flexible, hybrid opportunity.

Role Purpose:

To support the Product Head in developing and maintaining the range of products to ensure the agreed business plan targets and objectives are met.  Exploiting new product opportunities and providing Product and Technical support both internally and externally.

Key Responsibilities:

Collation and presentation of key information to the Product Head on schedule and ad hoc basis in respect of the product range.

To manage, maintain and review the product range to ensure they remain current, competitive, compliant and able to meet business targets in respect of allocated accounts  and/or schemes.

To present pricing recommendations to the Product Head based on analysis of data, broker intel, pricing and MI team.

To manage new product developments and amendments.

Collation and presentation of key information to the Product Head on schedule and on an ad- hoc basis in respect of the product range.

Fully understand underwriting performance metrics to enable collation and presentation of key account information to the Product Head at agreed intervals and dealing with ad-hoc requests relating to products, pricing and MI.

To research the market, through broker Intel, media and personal contacts, so as to remain up to date on all developing issues and opportunities.

Management of key accounts and other agreed key business relationships, to maintain and develop profitable accounts, and to explore any product opportunities and resolve issues that exist.

Nurture broker relationships to meet the needs of the business plan whilst using that relationship to obtain feedback from our customers of their experience.

To investigate and respond to queries from the operational area in relation to policy issues.

About You:

Experienced Underwriter.

Data Mining Experience.

Has an analytical background.

Previous experience within the insurance market.

Commercial awareness, market knowledge, process awareness.

Data analysis including presentation of observations and proposed actions.

Work well within a team environment as well as able to self-motivate and use initiative.

Good knowledge of Excel functions.

Excellent communication skills.

Knowledge of SAS software would be beneficial.

Why us?

Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence in the UK motor insurance market, we specialise in niche motor cover, where our solid market knowledge and experience enables us to create highly targeted products.

Our success is underpinned by our underwriting strategy to identify and apply special risk factors to the customers’ advantage. That, and our skilled underwriting technicians who are friendly, accessible and empowered to make decisions.

We only transact business through professional UK insurance intermediaries and we take pride in fostering excellent working relationships. Our products feature prominently on Aggregators' sites, such as (url removed), Go Compare and Compare the Market, via our broker partners.

What we offer in return?

A collaborative and fast paced work environment

25 days annual leave plus of Bank Holidays and the ability to buy an additional five days holiday

Health Cash Plan

A benefit scheme that offers discounts and cashback on shopping, restaurants, travel and more

Life Assurance 4x annual salary

National AI Awards 2025

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 Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.