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- Tasks: Join a dynamic team to build and maintain predictive models that shape pricing strategies.
- Company: Be part of a growing Insurtech revolutionising the insurance industry with innovative solutions.
- Benefits: Enjoy the flexibility of a fully remote role with opportunities for professional growth.
- Why this job: Make a real impact on customer experience and revenue while collaborating with talented professionals.
- Qualifications: 1-2 years of analytical experience; strong numerate degree; proficient in Python and SQL.
- 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 - Python/ SQL- Fully Remote
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, particularly Python and SQL. 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 teams. Attend relevant webinars or meetups to gain insights into current trends and challenges, which can help you tailor your discussions during interviews.
✨Tip Number 3
Prepare to discuss how you've used data to drive business decisions in your previous roles. Be ready to share specific examples of predictive models you've built or insights you've provided that led to measurable outcomes, as this will demonstrate your impact.
✨Tip Number 4
Research the company and its competitors to understand their pricing strategies and market position. This knowledge will not only help you in interviews but also allow you to propose innovative ideas that align with their goals, showing your proactive approach.
We think you need these skills to ace Data Scientist - Python/ SQL- Fully Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in the insurance or financial services sectors. 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 where you've successfully used data science techniques to drive business outcomes, and how you can contribute to their pricing team.
Showcase Relevant Projects: If you have worked on any relevant projects, either professionally or academically, include them in your application. Detail your role, the tools you used (especially Python and SQL), and the impact of your work on the project outcomes.
Prepare for Technical Questions: Be ready to discuss your technical skills in detail during the interview process. Brush up on your knowledge of data manipulation, statistical modelling, and any relevant libraries in Python. Consider preparing examples of how you've applied these skills in real-world scenarios.
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. This will help you demonstrate your knowledge of how data science can impact pricing strategies and customer experience in this sector.
✨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.
