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- Tasks: Build and maintain predictive models to enhance pricing strategies and customer experience.
- Company: Join a growing Insurtech with a dynamic team and flexible remote options.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Why this job: Make a real impact on pricing strategies using data science in a fast-paced environment.
- Qualifications: 1-2 years of analytical experience and proficiency in Python and SQL.
- Other info: Collaborative culture with visible results in just 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.
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Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Pricing)
✨Tip Number 1
Network like a pro! Reach out to people in the Insurtech space, especially those working in pricing or data science. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your predictive models and data analysis projects. This is your chance to demonstrate how you can impact pricing strategies and customer experience.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and Python. Be ready to discuss how you've used these tools in past roles, especially in relation to pricing and revenue generation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist (Pricing)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Scientist in Pricing. Highlight your experience with predictive models, SQL, and Python, and don’t forget to mention any relevant projects that showcase your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this Insurtech opportunity and how your background aligns with their needs. Be genuine and let your personality come through!
Showcase Your Technical Skills: Since this role involves heavy data manipulation and analysis, make sure to highlight your proficiency in Python and SQL. If you’ve worked with data visualisation tools like PowerBI or Tableau, give them a shout-out too!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to predictive modelling and data analysis. They’ll want to see that you can not only code but also understand the underlying principles of data science.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Think about examples where your insights led to improved pricing strategies or customer experiences. This will demonstrate your ability to contribute to their team right away.
✨Understand the Insurtech Landscape
Familiarise yourself with the insurtech industry and current trends in pricing strategies. Being able to discuss how external factors influence pricing decisions will show that you're not just a tech whiz but also have a solid grasp of the business side of things.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the tools they use for data visualisation, or how they measure the success of pricing changes. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.