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 - (see below)

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.