QBE European Operations
Our DNA is when we show-up for our people, customers, communities or shareholders across the globe, we are customer-centred, technical experts, diverse, fast-paced, courageous, accountable and a team.
Headquarters address
We’re one of the world’s largest insurers, managing $3bn of policies in Europe
alone, covering a large number of domains. We use techniques such as catastrophe
simulation, natural language processing, data visualisation and a broad set of
machine learning tools to solve problems within the commercial insurance domain,
where we use data to improve our decision making for pricing, risk assessment,
fraud, claims, customer acquisition and others. We are on a journey to be the
most progressive user of data science within the Insurance industry.
Active in both the Lloyd’s and company market, QBE offers considerable diversity
to the broking community. We are a socially responsible company and give our
customers the ability to invest a portion of their premiums in environmentally
and socially beneficial projects.
You will be working with a diverse team (16 and growing) using the latest
technologies, while working closely with experts with a vast knowledge in each
specific domain and strong corporate sponsorship. The Data Science team has
a largely flat structure, and you will have the freedom to solve problems as you
see fit to really make a mark within the company.
Our stack
• Google Cloud Platform
• Kubernetes (with Helm, Docker, Minikube)
• The PyData stack (pandas, sklearn, statsmodels, etc)
• Gitlab (and Gitlab CI)
• Terraform
• Flask
• Celery
• PostgreSQL
• BigQuery
• Redis
• Javascript (although we work mostly on the backend)
• Tableau
Interview Process
Initially you will be called by a member of the recruitment team for an initial screening.
Stage 1 - Initial telephone conversation with a member of the Data Science Team.
Stage 2 - Data Science Challenge.
Stage 3 - Face to Face interview with the Data Science Team.
Stage 4 - Offer