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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 optimise 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, visualisation, and statistical modeling.
- Strong data manipulation and reporting skills in SQL and Excel; familiarity with PowerBI or Tableau is a bonus.
Data Scientist Pricing employer: Arthur
Contact Detail:
Arthur Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Pricing
✨Tip Number 1
Familiarise yourself with the latest trends in pricing strategies within the Insurtech sector. Understanding how predictive models are built and maintained can 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 will be crucial.
✨Tip Number 3
Network with professionals in the Insurtech industry, particularly those working in pricing roles. Engaging with them can provide insights into the company culture and expectations, which can be beneficial for your interview.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business decisions in previous roles. Highlighting your impact on commercial performance will resonate well with the hiring team.
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 fast-paced industries. Emphasise your proficiency in Python and SQL, as well as any experience with predictive modelling.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the Data Scientist role within the pricing team. Mention specific projects or experiences that demonstrate your skills in data manipulation and collaboration with stakeholders.
Showcase Your Technical Skills: Include examples of how you've used Python and SQL in previous roles. If you have experience with data visualisation tools like PowerBI or Tableau, make sure to mention that as well.
Highlight Collaborative Experience: Since the role involves working closely with other team members, share examples of past collaborations. Discuss how you’ve contributed to team projects and how your insights have driven commercial performance.
How to prepare for a job interview at Arthur
✨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 will help you demonstrate your knowledge and show that you're genuinely interested in the role and the company.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to analyse data and make recommendations based on your findings, particularly in a fast-paced environment.
✨Emphasise Collaboration Skills
Since the role involves working closely with other team members and stakeholders, be ready to discuss your experience in collaborative projects. Highlight how you've effectively communicated insights and worked towards common goals.
