Job Details

Pricing Data Scientist

BBBH170150_1781098937
  • Up to £60000.00 per annum
  • Brighton, East Sussex
  • Permanent


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.

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