Pricing Analyst Student Placement in Basingstoke

This is an undergraduate opportunity for a current university student seeking a placement as part of their studies. Due to the high volume of applications, only those submitted with a covering letter will be considered.

As a Pricing Analyst Placement Student, you’ll bring your analytical skills to life by joining the AA’s Insurance Pricing team for a hands-on year in industry. Working alongside experienced pricing specialists, you’ll dive into real data, real models, and real commercial decisions that shape how our insurance products perform in the market. You’ll be involved in analysing key performance indicators, helping us understand customer behaviour, trading trends, and the impact of pricing decisions. Your insights will support the development of smart pricing strategies designed to improve acquisition, retention, and overall value for the AA Insurance business.

You’ll gain an understanding of how our pricing models operate, giving you exposure to the tools, techniques and disciplines used across the UK personal lines insurance market. From exploring pricing methodologies to learning how product design connects to customer outcomes, you’ll gain a well-rounded view of how pricing drives performance. Technology is central to what we do, so you’ll have the opportunity to work with Python in Databricks, supporting regular reporting and ad‑hoc data queries. It’s a great chance to develop practical technical skills while applying your academic knowledge to real-world challenges.

By the end of your placement, you’ll have worked across multiple areas of the pricing cycle, sharpened your analytical and problem‑solving skills, and gained valuable insight into a fast‑paced, commercially focused area of insurance, helping you shape the direction of your future career.

What will I be doing?

• Producing analysis on a range of key performance indicators to improve our commercial performance
• Supporting the development and implementation of pricing strategies that increase value by optimising acquisition and retention for the AA Insurance business
• Providing support in multiple areas for the build and maintenance of our pricing models
• Learning about the UK personal lines insurance business, pricing models, conduct and disciplines
• Use of Python within Databricks, for maintenance of regular reports & ad-hoc data queries

What do I need?

• To be focused and action-oriented
• Not afraid of trying new ideas
• The ability to communicate sometimes complex concepts in a clear manner
• An understanding of multi-variate analytical techniques
• The ability to propose and implement change
• Evidence of undertaking complex statistical analysis in your degree (Actuarial Science, Mathematics, Data Science, Statistics or Economics)

Benefits

• 25 days annual leave plus bank holidays + holiday buying scheme
• Worksave pension scheme with up to 7% employer contribution
• Free AA breakdown membership from Day 1 plus 50% discount for family and friends
• Discounts on AA products including car and home insurance
• Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more
• Company funded life assurance
• Diverse learning and development opportunities to support you to progress in your career
• Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong.

As part of the onboarding process, we complete several pre-employment checks including work reference, credit and criminal record checks. We may close the vacancy sooner than the advertised date if we get a high volume of applications, please apply now if you are interested.