At a Glance
- Tasks: Shape pricing strategy using advanced analytics and machine learning.
- Company: Established Protection Insurance provider with a focus on innovation.
- Benefits: Competitive salary, fully remote work, and potential for permanent position.
- Other info: Collaborative culture with opportunities for professional growth.
- Why this job: Make a real impact on pricing strategies in a dynamic insurance environment.
- Qualifications: Experience in insurance pricing and strong skills in machine learning and Python.
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.
Pricing Data Scientist in Brighton employer: McGregor Boyall Associates
As a leading Protection Insurance provider, we offer a dynamic and inclusive work environment where innovation thrives. Our fully remote setup, with optional offices in Brighton or Cambridgeshire, allows for flexibility while fostering collaboration among teams. We prioritise employee growth through continuous learning opportunities and encourage our Pricing Data Scientists to leverage their expertise in advanced analytics to make impactful contributions to our pricing strategy.
Contact Details:
McGregor Boyall Associates Recruitment Team
