Senior Pricing Analyst / Data Scientist - Insurtech

North Co Recruitment; Greater London; Hybride; GBP 81 000 - 99 000; Plein temps

Résumé du poste

North Co Recruitment is partnering with a newly launched insurtech to appoint a Senior Pricing Analyst. You will build, deploy and monitor ML pricing models across claims cost and market price, using GBMs/GLMs and advanced ML for predictive power. The role offers remote or hybrid work with London base and no sponsorship.

You’ll collaborate closely with underwriting, claims, fraud and technology teams, turning predictive gains into actionable trading decisions with Consumer Duty in mind.

Qualifications

• Pricing or data science experience in UK private motor or home insurance at Senior Analyst level, or ready to take that step.
• Hands-on experience building market price or claims cost models using GBMs and GLMs, with an appetite for more advanced machine learning.
• Strong Python and SQL, with comfort using git and a cloud environment such as AWS.
• A proven track record of building with AI, and ideas for how it can change the way pricing is done.
• Working knowledge of the FCA pricing rules and Consumer Duty requirements.
• Experience of PCW trading, Radar or automated MI would be useful, though Radar can be learned in the role.
• A pragmatic, test-and-learn approach - getting a strong model live and measuring it rather than chasing a perfect one.

Responsabilités

• Build, deploy and monitor machine learning pricing models across claims cost, market price and customer behaviour.
• Push the modelling beyond a standard GBM core, testing advanced ML techniques where they genuinely improve performance.
• Use AI tools day to day to build, automate and scale what a small team can deliver.
• Explore new datasets and engineer features that sharpen predictive power and give the business an edge.
• Contribute to daily trading decisions, with changes often live the same afternoon and results visible the next day.
• Turn predictive gains into profitable growth, working closely with underwriting, claims, fraud and technology, with Consumer Duty built in from the start.

Connaissances

Pricing

Data science

Python

SQL

GBM/GLM models

AWS

Git

Outils

Git

AWS Cloud

Description du poste

North Co Recruitment are working with a newly launched, insurtech business to appoint a Senior Pricing Analyst into their pricing team. With no legacy systems or inherited processes in the way, this is a chance to build best-in-class machine learning models in open-source Python, use AI tools to move faster than a traditional pricing team ever could, and see your work trading on the price comparison sites within a day.

What you'll do

• Build, deploy and monitor machine learning pricing models across claims cost, market price and customer behaviour.
• Push the modelling beyond a standard GBM core, testing advanced ML techniques where they genuinely improve performance.
• Use AI tools day to day to build, automate and scale what a small team can deliver.
• Explore new datasets and engineer features that sharpen predictive power and give the business an edge.
• Contribute to daily trading decisions, with changes often live the same afternoon and results visible the next day.
• Turn predictive gains into profitable growth, working closely with underwriting, claims, fraud and technology, with Consumer Duty built in from the start.

What we're looking for

• Pricing or data science experience in UK private motor or home insurance at Senior Analyst level, or ready to take that step.
• Hands-on experience building market price or claims cost models using GBMs and GLMs, with an appetite for more advanced machine learning.
• Strong Python and SQL, with comfort using git and a cloud environment such as AWS.
• A proven track record of building with AI, and ideas for how it can change the way pricing is done.
• Working knowledge of the FCA pricing rules and Consumer Duty requirements.
• Experience of PCW trading, Radar or automated MI would be useful, though Radar can be learned in the role.
• A pragmatic, test-and-learn approach - getting a strong model live and measuring it rather than chasing a perfect one.

Salary:

Up to £90,000 base, plus discretionary bonus

Location:

Remote or Hybrid, London Based.

Please note, the client is unable to offer sponsorship for this opportunity.