At a Glance
- Tasks: Shape pricing strategy and lead model development for motor and home insurance.
- Company: Claims Recruitment Services, a leader in insurance innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a high-impact role with excellent career advancement opportunities.
- Why this job: Make a real impact on pricing strategies using data science in a dynamic environment.
- Qualifications: Degree-level education, strong numeracy, and knowledge of Radar/Emblem required.
The predicted salary is between 60000 - 70000 £ per year.
Claims Recruitment Services is recruiting for a Principal Pricing Analyst in Reigate, UK.
You will influence motor and home pricing across brands and channels, shaping pricing strategy and leading model development in a high-impact role.
The role leverages data science capabilities to deliver pricing improvements, with responsibility for pricing algorithms and market insight.
Strong numeracy, degree-level education, and knowledge of Radar/Emblem are required.
Lead Pricing Analyst - Motor & Home Insurance Innovation in Reigate employer: Claims Recruitment Services
Claims Recruitment Services is an excellent employer, offering a vibrant work culture in Reigate that fosters collaboration and innovation. Employees benefit from continuous growth opportunities, competitive compensation, and the chance to work on cutting-edge data products within a supportive team environment, making it a rewarding place for those passionate about data and AI.
Contact Details:
Claims Recruitment Services Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Pricing Analyst - Motor & Home Insurance Innovation in Reigate
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Claims Recruitment Services!
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We think you need these skills to ace Lead Pricing Analyst - Motor & Home Insurance Innovation in Reigate
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Claims Recruitment Services, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Claims Recruitment Services. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Claims Recruitment Services
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Claims Recruitment Services!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
