Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and refine statistical risk models for innovative pricing solutions.
- Company: Leading Personal Lines Insurer with a focus on data-driven strategies.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with strong career advancement potential.
- Why this job: Drive strategic change and make an impact in the insurance industry using data science.
- Qualifications: Proficiency in Python or R and expertise in statistical analysis software.
The predicted salary is between 60000 - 80000 £ per year.
I am working with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager, you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth.
Key Responsibilities:
- Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions.
- Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges.
- Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders.
Requirements:
- Proficiency in data science techniques using Python or R.
- Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable.
- Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale.
- Ability to oversee pricing model development and maintenance while evaluating the profitability and market positioning of new and existing product propositions.
- Proven experience working collaboratively with teams and senior stakeholders, with excellent communication skills to present complex concepts clearly.
Pricing Manager (Data Scientist) - Remote in Bury employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Manager (Data Scientist) - Remote in Bury
✨Tip Number 1
Network like a pro! Reach out to industry professionals on LinkedIn or attend virtual meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving pricing models. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to pricing and statistical analysis. We recommend using the STAR method to structure your answers and highlight your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Pricing Manager (Data Scientist) - Remote in Bury
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Pricing Manager role. Highlight your experience with data science techniques, especially in Python or R, and any relevant actuarial models you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've developed or refined pricing models. Use clear examples to demonstrate your expertise in statistical analysis and how you've driven strategic change in previous roles. This will help us understand your impact!
Communicate Clearly: When writing your cover letter, make it clear how you can communicate complex concepts effectively. Mention any experience presenting to stakeholders and how you’ve made data-driven insights accessible to non-technical audiences. We value strong communication skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Numbers
Brush up on your statistical analysis skills and be ready to discuss specific examples of how you've used data science techniques in Python or R. Prepare to explain your thought process behind developing complex actuarial models and how they contributed to business growth.
✨Speak Their Language
Familiarise yourself with the terminology and tools mentioned in the job description, especially Willis Towers Watson (Emblem, Radar). Being able to confidently discuss these tools will show that you’re not just a fit for the role but also genuinely interested in the company’s operations.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked with diverse teams and stakeholders in the past. Highlight your communication skills by discussing how you’ve presented complex statistical concepts in a way that was easily understood by non-technical audiences.
✨Prepare Insightful Questions
Think of thoughtful questions to ask during the interview that demonstrate your understanding of pricing and underwriting principles. This could include inquiries about their current pricing strategies or how they envision the role evolving with new data science techniques.