Responsibilities
Develop and operationalise Python based modelling tools and frameworks that support the full analytical lifecycle
Create tools, APIs and processes that enable seamless, efficient and controlled deployment of ML and statistical models
Support teams across Pricing and Analytics with standardised modelling approaches and robust engineering practices
Help raise engineering maturity across the department through best practice, knowledge sharing and high quality code delivery
Qualifications
Strong experience building data or software products using Python and Git
A mindset of continual improvement and a passion for reliable, scalable engineering
The ability to collaborate effectively with both technical and non-technical colleagues
Experience delivering in a fast moving commercial environment
Exposure to regulated industries or personal lines insurance is beneficial but not essential
Applicants must be eligible and authorised to work in the United Kingdom.
If you are driven by building high quality ML tooling, enjoy solving complex engineering challenges and want to contribute to a major transformation, we would be keen to hear from you.
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