Senior Data Scientist (Insurance)

Location: Hybrid in London, Bexhill or Leicester, United Kingdom

Salary: Attractive salary based on experience plus car allowance; annual pay reviews.

Company

hirify.global is a digital insurance provider serving over four million customers and developing data-driven pricing and risk solutions for the UK market.

What you will do

• Lead predictive modelling projects from problem definition through development, validation, production integration and ongoing monitoring.
• Identify, assess and prepare data features by evaluating predictive value, stability, interpretability and effects on customer pricing outcomes.
• Build reusable, maintainable and reproducible modelling tools, pipelines and development practices.
• Lead a small team of data scientists, support their technical development and review their technical work.
• Work with senior leaders to shape data science strategy and improve modelling capability, processes and ways of working.
• Establish best-practice standards for modelling, software development, testing, documentation and deployment.

Requirements

• Deep understanding of predictive modelling and machine learning techniques, including linear and gradient boosted models.
• Demonstrable experience delivering data science solutions that influenced business decisions and generated measurable commercial value.
• Strong SQL skills, including extracting, transforming and preparing data for predictive modelling.
• Proficiency and experience using Python and ML libraries to build and integrate data science products.
• Experience with Git for version control and collaborative software development.
• Ability to lead technical discussions, influence senior stakeholders and explain complex analytical concepts clearly.
• Experience collaborating across multidisciplinary teams and reviewing the technical work of other data scientists.
• Natural problem-solving ability, flexibility, delivery focus, ownership and accountability.

Nice to have

• Experience with Azure Machine Learning Studio or similar cloud-based ML platforms.
• Experience with Snowflake or similar cloud-based data platforms.
• Experience leading, supporting and mentoring junior colleagues.
• Experience applying data science or predictive modelling in general insurance.

Culture & Benefits

• Flexible hybrid working with office and home working arrangements discussed with the recruiter.
• Training, development, recognition and opportunities to contribute ideas through the 4Cs culture.
• Annual 4Cs performance bonus, private medical insurance, life assurance, income protection and pension contributions matched up to 10%.
• 27 days of annual leave plus bank holidays, with the option to buy or sell one contracted week.
• Additional health, dental, financial wellbeing, retailer, product, cycle-to-work and technology scheme benefits.
• Inclusive workplace with reasonable adjustments and support available throughout recruitment; employment is subject to thorough referencing, including credit and criminal record checks.

Hiring process

• Recruitment screening call, followed by a first-round introduction with the hiring leader.
• Case study round combining technical and competency assessment.
• Applications are welcomed through the Disability Confident Scheme, with support and adjustments available during recruitment.