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For Companies At a Glance
- Tasks: Lead data analysis and develop predictive models to optimise pricing strategies.
- Company: Join a forward-thinking company shaping the future of home insurance pricing.
- Benefits: Enjoy flexible working, generous holidays, health support, and family-friendly policies.
- Why this job: Make a real impact on growth and customer outcomes while coaching junior analysts.
- Qualifications: 3+ years in insurance pricing with strong statistical and modelling skills required.
- Other info: Opportunity for both full-time and part-time roles available.
The predicted salary is between 39000 - 52000 £ per year.
Overview
Insurance Pricing, Data Science and Advanced Analytics Recruitment Specialist – Perm | Contract | Hybrid working. Permanent | Full-time or Part-time.
What you’ll do:
- Lead analysis using advanced actuarial and statistical techniques.
- Develop & maintain predictive models, incorporating machine learning.
- Optimise pricing strategies to drive volume, retention & profitability.
- Coach junior analysts and influence senior stakeholders.
- Deliver innovative solutions across the full pricing cycle.
What we’re looking for:
- 3+ years’ experience in insurance pricing.
- Strong statistical & modelling expertise (e.g. GLMs, GBMs, Machine Learning).
- Skilled in SAS or R or Python
- Proven ability to solve complex business problems with data-driven solutions.
- Excellent communication and stakeholder engagement skills.
What’s on offer?
Flexible working options
Family-friendly policies
If you’re ready to bring your expertise in insurance pricing, analytics, and machine learning you’ll get flexible working options, great benefits and the chance to influence at a senior level.
Seniority level
- Mid-Senior level
Employment type
- Full-time
Job function
- Analyst
Industries
- Insurance
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Senior Pricing Analyst employer: Gerrard White Consulting
Contact Detail:
Gerrard White Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Pricing Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the home insurance market. Understanding current market dynamics and competitor approaches will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your statistical modelling skills, particularly in GLMs, GBMs, and machine learning techniques. Being able to discuss specific projects or case studies where you've applied these skills can set you apart from other candidates.
✨Tip Number 3
Prepare to demonstrate your ability to influence stakeholders. Think of examples where you've successfully communicated complex data insights to non-technical audiences, as this is crucial for the role.
✨Tip Number 4
Network with professionals in the insurance and analytics fields. Attend relevant industry events or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
We think you need these skills to ace Senior Pricing Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in insurance pricing and your statistical modelling skills. Use specific examples to demonstrate your expertise in GLMs, GBMs, and machine learning.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention how your data-driven approach can contribute to optimising pricing strategies and improving customer outcomes.
Highlight Relevant Experience: In your application, emphasise your 3+ years of experience in insurance pricing. Discuss any projects where you led analysis or developed predictive models, and how these contributed to business growth.
Showcase Communication Skills: Since the role involves coaching junior analysts and engaging with senior stakeholders, include examples of how you've effectively communicated complex data insights in previous roles.
How to prepare for a job interview at Gerrard White Consulting
✨Showcase Your Analytical Skills
Prepare to discuss specific examples of how you've used statistical techniques and modelling in your previous roles. Be ready to explain your thought process and the impact your analyses had on pricing strategies.
✨Demonstrate Technical Proficiency
Familiarise yourself with the tools mentioned in the job description, such as SAS, R, or Python. Consider preparing a brief demonstration or example of a project where you utilised these tools effectively.
✨Engage with Stakeholders
Since excellent communication is key, think about how you can convey complex data insights to non-technical stakeholders. Prepare to share experiences where you successfully influenced decisions through your analysis.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of challenging scenarios you've encountered in your work and how you approached them using data-driven solutions.
