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- Tasks: Join a dynamic team to build and maintain predictive pricing models that enhance customer experience.
- Company: Be part of a growing Insurtech that's revolutionizing the insurance industry with innovative solutions.
- Benefits: Enjoy remote work flexibility and the chance to make a real impact in a fast-paced environment.
- Why this job: This role offers hands-on experience with data, collaboration with experts, and visible results in days.
- Qualifications: 1-2 years of analytical experience; strong numerate degree; proficient in Python and data science libraries.
- Other info: Opportunity to work closely with software developers and key stakeholders for immediate impact.
The predicted salary is between 36000 - 60000 £ per year.
Job Description I am working with a growing Insurtech, who are seeking a Data Scientist within their pricing team – this is a growth hire, joining a team of 3. My client has an office in London however, are open to making this role largely remote depending on candidate preference. Responsibilities: Build, innovate, and maintain predictive models within a proprietary Retail Pricing suite, directly impacting prices and customer experience. Collaborate with the Senior Pricing Analyst and key stakeholders to implement price selection changes and provide actionable insights for improving commercial performance. Use SQL and Python for data processing, analysis, and price setting, leveraging millions of quotes to drive incremental revenue through retail pricing actions. Work closely with software developers to adapt and optimize pricing tools based on identified opportunities, with results visible within days. Requirements: 1-2 years of experience as an analyst in Insurance, Financial Services, Retail, Travel, or other fast-paced industries. Strong numerate degree (e.g., Data Science, Mathematics, Physics, Engineering), though other disciplines will be considered with relevant experience. Proficient in Python and its data science libraries for data manipulation, visualization, and statistical modeling. St…
Data Scientist (Pricing) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Pricing)
✨Tip Number 1
Familiarize yourself with the specific pricing models used in the insurance industry. Understanding how these models work will help you demonstrate your knowledge during interviews and show that you're ready to contribute from day one.
✨Tip Number 2
Brush up on your SQL and Python skills, especially focusing on data manipulation and statistical modeling. Being able to showcase your technical abilities in these areas will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the Insurtech space. Engaging with others in the industry can provide valuable insights and potentially lead to referrals, which can significantly increase your chances of landing the job.
✨Tip Number 4
Prepare to discuss real-world examples of how you've used data to drive business decisions. Being able to articulate your past experiences will help you connect your background to the role and demonstrate your impact.
We think you need these skills to ace Data Scientist (Pricing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in insurance or financial services. Emphasize your proficiency in Python and SQL, as well as any projects that demonstrate your ability to build predictive models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of the position, particularly your experience with data processing and collaboration with stakeholders.
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention any relevant projects where you used Python and SQL for data analysis, and describe the impact of your work on pricing strategies or commercial performance.
Highlight Collaboration Experience: Since the role involves working closely with other team members and stakeholders, include examples of past collaborative projects. This will demonstrate your ability to work effectively in a team environment and contribute to shared goals.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these tools for data processing and analysis, especially in a pricing context.
✨Demonstrate Your Analytical Thinking
Prepare to explain how you approach problem-solving and decision-making in data analysis. Use examples from your past experience to illustrate how you've derived actionable insights that improved commercial performance.
✨Understand the Insurtech Landscape
Familiarize yourself with the insurtech industry and current trends in pricing strategies. This knowledge will help you engage in meaningful discussions about how your skills can contribute to the company's growth.
✨Emphasize Collaboration Skills
Since this role involves working closely with other team members and stakeholders, be ready to share examples of how you've successfully collaborated in previous roles. Highlight your ability to communicate complex data insights to non-technical audiences.
