McGregor Boyall
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 –
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
To apply for this job please visit www.reed.co.uk.
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