I joined Hastings straight out of university and since then I've had the chance to work on a huge variety of projects that have helped develop our core car pricing. From building predictive peril models that form the foundation of a customer's price, to creating dashboards that help us stay on top of changing trends, quickly spot data issues and support the wider business in making more informed decisions.

I've also had the opportunity to work closely with other teams in Underwriting, giving me valuable insight into how our analysis feeds into real commercial outcomes. I love the variety, the problem‑solving and the constant learning curve, which makes it a fantastic role for anyone who enjoys working with data and wants to help drive smarter pricing as we push towards digital and data excellence.

As a Data Science Manager, I lead a team of Data Scientists working on a wide variety of projects, delivering models to be used in a lot of different contexts around the business. I feel that Hastings is at the forefront of innovation when it comes to data science in the insurance industry, as our in-house built platforms allow us to deploy pretty much anything, so we can be very creative with the kind of models we can deploy. As a result, every project I’ve worked on here at Hastings has been highly technical and has required a fair bit of thinking outside the box, which I really enjoy. There’s a big culture of fostering collaboration and innovating new ideas between different data science teams across the entire business, and continuous development is highly encouraged.

I joined Hastings in 2022 from a technology background with no prior insurance experience. Since then, I've worked on a range of models that support our core car pricing engine, helping to turn data into solutions that deliver real business value. What stood out to me from the start was how much Hastings invests in its people. The supportive culture and close collaboration with teams across Underwriting made it easy to build my understanding of the insurance industry, while opportunities such as lunch and learn sessions continue to support learning and knowledge sharing across the business. Today, I'm part of an experimental team focused on exploring and implementing new machine learning approaches, supported by technology and infrastructure that enable rapid and efficient innovation. I've also had the opportunity to help train and develop others, which has been a rewarding part of my growth. It's a great environment for anyone who enjoys continuous learning, collaboration, and using data to make a meaningful impact.