Pricing Modelling Manager

Cardiff

1 year ago

Applications closed

Related Jobs

View all jobs

Senior Geospatial Data Scientist

Geospatial Data Scientist

Sr. Data Scientist

Sr Product Manager, Data Science

Machine Learning Manager

Machine Learning Engineer (Manager)

Pricing Modelling Manager

Up to £90K + great benefits

Twice a month in Cardiff

My Client is seeking a technical leader to drive their ambitious Pricing & Profitability Roadmap. The ideal candidate will be pivotal in delivering advanced optimisation models and a framework of continuous improvement and innovation.

The candidate will spearhead prediction of customer behaviour and how to optimise using the results, manage pricing processes, and further develop the dynamic pricing model, transforming it into a premier asset for the business. With substantial investments in enhancing their pricing model's technical capability, the successful candidate will be at the forefront of innovation, integrating data science methodologies into pricing models to deliver added value.

Key Responsibilities

Own our optimisation function, developing new models to predict customer behaviour.
Drive technical excellence across the department.
Lead regular pricing monitoring and optimisation processes, whist innovating existing models and developing improved alternatives.
Perform details pricing analysis to inform decision making.

Key Requirements

Proficent in SQL & Python.
Previous experience either in a Lending business or in a Pricing, Commercial, Credit Risk or Analytics role.
Strong problem-solving skills with a keen attention to detail.
Effective communication skills, with the ability to engage with stakeholders at various levels.
Demonstrated ability to work independently and manage multiple tasks.
Applicants must be located and eligible to work in the UK without sponsorship. Please note, should feedback not be received within 28 days, unfortunately your application has been unsuccessful. In applying for this role, you may be registered on our database so we can contact you about suitable opportunities in future. Your data will be managed in accordance with our Privacy Policy, which can be found on our website. If you would like this job advertisement in an alternative format, please contact MERJE directly

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.