THE OPPORTUNITY

We’re seeking a data science lead to join our established and growing pricing and analytics team for Automotive Protection’s global business on a fixed-term basis for 12 months. This is an exciting opportunity for an individual looking to start or continue their career within the insurance industry, and who want to join a team of experienced and supportive colleagues. This role will be based in our London office.

SKILLS:

Communication, Critical Thinking, Data Science, Data Visualization, Innovation, Intentional collaboration, Machine Learning, Managing performance, Mentorship, Prioritization, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Thought Leadership
How to Apply:
To submit your application, follow the step by step process.
Equal Employment Opportunity:
QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates

In this role, you will apply data science and modelling techniques to solve real-world business challenges and support data-driven decision-making. Partnering with the Global Head of Performance and Senior Analyst Manager, you’ll be responsible for transitioning our pricing models to python and developing our machine learning capability.
If you’re passionate about turning data into actionable strategies and thrive in a collaborative, energetic environment, we want you on our team!

Main responsibilities:

• Lead in transitioning our GLM pricing models to Python and developing our machine learning capability
• Help shape and support Automotive Protection’s data science strategy
• Work closely with the Global Head of Performance and Senior Analyst Manager to identify opportunities, plan project delivery and deliver key outcomes that drive decision-making
• Develop and implement analytical models that support pricing, identify fraud, improve retention and renewals, and drive profitable growth
• Collaborate with analyst team to build, monitor, and refresh predictive models as needed
• Design and enhance analytics that drive business insights and decisions
• Ensure models meet regulatory standards and are well documented
• Present findings clearly and confidently to different audiences, making sure insights are well understood and actionable
• Collaborate across functions, including with clients, senior stakeholders, and various business teams

This role is ideal for someone who enjoys solving real-world problems with data, takes ownership of their work, and is passionate about making analytics part of everyday business decisions.