Senior Pricing Analyst

Hastings Direct
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Pricing Data Scientist

Senior Geospatial Data Scientist

Data Science Manager

Senior Data Scientist - Forecasting

Machine Learning Engineer

Welcome to Hastings Direct – From our Group HR Director Pam Angel  

We’re a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We’ve made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We’re proud of the journey we’re on as a company and know that our continued success will rely on the contribution of our talented colleagues. 

We provide insurance for over three million customers, but we know there’s even bigger opportunity out there. The fact you’re now reading this job advert means we’ve tempted you to find out more about #lifeatHD – we really hope you like what you see, and you’ll join us to share in the success of the exciting chapter that lies ahead.

We understand some people may not apply for jobs unless they feel they tick every box. If you are excited about joining us and think you have some of what we are looking for, even if you’re not 100% sure we would love to hear from you. 

Job Details:

Operating the BAU price optimisation process, ensuring our high standards of accuracy and governance are maintained 

Querying our data warehouses to track and analyse the performance of pricing and other testing activity, deriving insights to inform next steps 

Analysing a wide variety of data to conceive, develop and deploy robust tests of new pricing approaches, to enhance commercial performance

Collaborating with key stakeholders across the business to support the development of new propositions, extending our pricing capability to support their needs

Learning the practicalities of building advanced machine learning and statistical models, as well as effectively deploying them to deliver business benefits

Skills we would love you to have:

Degree in a numerical discipline (e.g. mathematics, sciences, engineering, computing).

Previous experience working in a technical or analytical role.

SQL and experience working with large or complex datasets

R/Python or similar code-based approaches to data analytics and statistical testing

Previous experience working in a regulated environment.

What we offer

Join us and you’ll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues, customers, company, and community. As one of our colleagues, you’ll be helping to drive our growth, so in return, we’ll give you all the support, training and development you need. Not to mention plenty of recognition and rewards, and the scope to voice your ideas and put them into practice.

Reward:

Salary– Attractive salary based on experience (pay reviews also completed each year) 

Flexible Working– We champion a flexible and hybrid working approach so please speak to your recruiter to discuss in more detail, including days in the office and at home.

Competitive Bonus Scheme - All colleagues are eligible for our annual 4Cs performance bonus, which is usually paid in March. The scheme is based on Hastings’ performance against our business goals and your own personal performance. 

Physical Wellbeing– We like to help our colleagues take a proactive approach in keeping themselves well, that’s why we fund our colleagues to be able to claim against everyday health care through our healthcare cash plan. 

Financial Wellbeing– As well as providing you with 4x your salary with our life assurance cover and income protection at no extra cost, pension contribution match up to 10%, we are proud to provide you with an AWARD WINNING package which includes – discounts and cashback at everyday retailers and on our own products, fee free independent mortgage advice, and free access to financial wellbeing support. 

Mental Wellbeing Programme- At Hastings Direct we understand that mental health cannot not be scheduled, that’s why we have a range of support to help you keep yourself well. We have the thrive mental health app, our colleague assistance programme available 24/7, our own in-house mental health first aiders, support groups and a dedicated team to make sure we are covering your needs 

There's more!– 25 days annual leave +bank holidays, with the option to buy or sell one of your contracted weeks, access to private healthcare, dental plans, discounted health assessments, cycle to work and tech schemes, discounted and free onsite facilities, social events throughout the year and much more. Most of our benefits and wellbeing resources are available to colleagues from their first day whilst some optional benefits, which involve committing to a 12-month payment schedule, are available as soon as you have completed your probationary period. 

Our 4Cs principles are simple: we believe by creating the right culture for our colleagues and giving them the right tools to do their job, we’ll deliver good outcomes for every customer, helping us to grow the company profitably and sustainably and allowing us to invest in the communities we serve 

We deliver good outcomes for our customers every time by providing great products at the right price with our simple and straightforward service. We treat customers like we want to be treated - fairly, respectfully and with their best interests at heart 


Hastings Group is an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.Please also note that we have a thorough referencing process, which includes credit and criminal record checks.

Job posting end date:

04/07/2024

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 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.

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.

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.