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 £60k The Role • Joining 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 Responsibilities • Build and deploy pricing, demand, lapse, cross-sell and optimisation models • Lead strategic pricing initiatives and deliver tactical solutions to support business performance • Partner with Product, Protection and Distribution teams to drive pricing improvements • Apply machine learning and statistical techniques to solve complex business problems • Communicate technical insights to both technical and non-technical stakeholders Key Requirements • Experience within Insurance Pricing • Strong Machine Learning and predictive modelling experience • Python skills • Strong statistical and mathematical knowledge (GLMs, regression, hypothesis testing, time-series etc.) • Understanding of customer behaviour, pricing elasticity and price optimisation • Protection Insurance experience preferred (Term Assurance, Critical Illness or Income Protection) • Strong communication and stakeholder management skills No sponsorship available. Get in touch for more details - ncarolan@mcgregor-boyall.com McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.