Being a data-driven company, we have a large amount of data available to us. To make the best use of this, we’ve invested in an entirely cloud-based technology stack. We use Snowflake to store our data, a combination of Python notebooks and DataBricks to build ML models, and Azure DevOps pipelines to deploy our models via a dedicated ML Engineering team.
Collaboration is key to the work we do, with us working closely with other teams in Underwriting, such as Data Engineering, Product Development and Risk Pricing. We use Github as one of our main version control and collaboration tools, with colleagues from different teams all feeding into a project through the platform.
We appreciate the importance of bringing the team together, and how this can improve our collaboration and communication skills, so we offer a hybrid working approach from our Bexhill and London offices.
There are plenty of opportunities for colleagues to develop and grow in their career. As a team we encourage the use of the online learning platforms Coursera and O’Reilly provided at Hastings for self-development. We also offer Data Science graduate schemes that give candidates the opportunity to work in multiple teams to grow their technical ability and wider business skills. For Actuarial Science, we offer colleagues an apprenticeship opportunity so they can work towards a professional qualification while working with us and applying what they have learnt in their studies.