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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 revolutionising the insurance industry with innovative solutions.
- Benefits: Enjoy flexible remote work options and a collaborative team environment.
- Why this job: Make a real impact on pricing strategies while working with cutting-edge technology and data.
- Qualifications: 1-2 years in a fast-paced analytical role; strong numerate degree and proficiency in Python and SQL required.
- Other info: Work closely with software developers to see your contributions make a difference quickly.
The predicted salary is between 36000 - 60000 £ per year.
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.
- Strong data manipulation and reporting skills in SQL and Excel; familiarity with PowerBI or Tableau is a bonus.
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Pricing) (City of London)
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the Insurtech sector. Understanding how predictive models are built and maintained will give you an edge during discussions with the hiring team.
✨Tip Number 2
Brush up on your SQL and Python skills, especially focusing on data manipulation and statistical modelling. Being able to demonstrate your proficiency in these areas during interviews can significantly boost your chances.
✨Tip Number 3
Network with professionals in the Insurtech space or join relevant online communities. Engaging with others in the field can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Highlighting your analytical skills and real-world applications will resonate well with the interviewers.
We think you need these skills to ace Data Scientist (Pricing) (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly within the insurance or financial services sectors. Emphasise your proficiency in Python and SQL, as well as any experience with predictive modelling.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how it can impact pricing strategies. Mention specific projects or experiences where you've successfully used data to drive business decisions.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in Python and SQL. Provide examples of how you've used these tools in previous roles to manipulate data and generate insights.
Highlight Collaboration Experience: Since the role involves working closely with stakeholders and software developers, include examples of past collaborative projects. Demonstrating your ability to work in a team will strengthen your application.
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 skills, especially in data manipulation and predictive modelling.
✨Understand the Insurtech Landscape
Familiarise yourself with the insurtech industry and current trends in pricing strategies. This knowledge will help you demonstrate your interest in the field and how you can contribute to the company's growth.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Prepare to discuss how you would approach building a predictive model or optimising pricing tools based on real-world scenarios.
✨Emphasise Collaboration Skills
Since the role involves working closely with other team members and stakeholders, be ready to share examples of how you've successfully collaborated in past roles. Highlight your communication skills and ability to work in a team.
