Pricing Data Scientist
Pricing Data Scientist Protection Insurance Location: Fully Remote (optional offices in Brighton or Cambridgeshire) Contract: 12-Month Fixed-Term Contract - very likely to go permanent afterwards Salary: Up to £60kThe RoleJoining a well-established Protection Insurance provider, you'll play a key role in shaping pricing strategy through advanced analytics, machine learning and predictive modelling.This is a highly commercial role, sitting at the intersection of Data Science, Pricing and Insurance. You'll design and deploy models that influence trading performance, customer outcomes and strategic decision-making across a range of protection products.The business is open to both Pricing Data Scientists and candidates with an Actuarial background, making this an excellent opportunity for someone looking to apply advanced modelling techniques to real-world commercial challenges. Key ResponsibilitiesBuild and deploy pricing, demand, lapse, cross-sell and optimisation modelsLead strategic pricing initiatives and deliver tactical solutions to support business performancePartner with Product, Protection and Distribution teams to drive pricing improvementsApply machine learning and statistical techniques to solve complex business problemsCommunicate technical insights to both technical and non-technical stakeholders Key RequirementsExperience within Insurance PricingStrong Machine Learning and predictive modelling experiencePython skillsStrong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.)Understanding of customer behaviour, pricing elasticity and price optimisationProtection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection)Strong communication and stakeholder management skillsNo sponsorship available.Get in touch for more details - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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