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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 in days.
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.
Data Scientist (Pricing) (City of London) employer: Arthur Recruitment
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 specific tools and technologies mentioned in the job description, particularly SQL and Python. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 2
Network with professionals in the Insurtech industry, especially those who work in pricing or data science roles. Attend relevant meetups or webinars to gain insights and potentially get referrals, which can significantly boost your chances of landing an interview.
✨Tip Number 3
Prepare to discuss real-world applications of your data science skills during interviews. Think of examples where you've used predictive modelling or data analysis to drive business decisions, as this will demonstrate your ability to impact commercial performance directly.
✨Tip Number 4
Research the company and its competitors to understand their pricing strategies and market position. Being able to discuss how your skills can help them innovate and improve their pricing suite will show your genuine interest in the role and the company.
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 in insurance or financial services. Emphasise 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. Mention specific experiences that align with the responsibilities listed, such as collaborating with stakeholders or using data to drive business decisions.
Showcase Technical Skills: Clearly outline your technical skills in Python, SQL, and any data visualisation tools like PowerBI or Tableau. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Soft Skills: Don't forget to mention soft skills that are important for collaboration, such as communication and teamwork. Since this role involves working closely with others, demonstrating your ability to work in a team will be beneficial.
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.
