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- Tasks: Analyse data and make pricing recommendations for home insurance.
- Company: Leading insurance company in Liverpool with a supportive culture.
- Benefits: Career progression opportunities, work-life balance, and various employee benefits.
- Why this job: Join a growing team and make a real impact in the insurance industry.
- Qualifications: Experience in personal lines insurance pricing, Python, and SQL skills.
- Other info: Hybrid working model with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance company based in Liverpool is seeking a Pricing Data Scientist to join their expanding Home team. This position involves producing in-depth analyses, making pricing recommendations, and collaborating with technical teams.
Ideal candidates will have:
- A strong background in personal lines insurance pricing
- Proficient statistical skills
- Experience with Python and SQL
The role also offers a supportive workplace culture and various benefits aimed at career progression and work-life balance.
Pricing Data Scientist – Home Insurance (Hybrid) in Liverpool employer: Acorn Group
Contact Detail:
Acorn Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist – Home Insurance (Hybrid) in Liverpool
✨Tip Number 1
Network like a pro! Reach out to people in the insurance industry, 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! Prepare a portfolio showcasing your analyses, pricing models, or any relevant projects you've worked on. This will help you stand out and demonstrate your expertise in Python and SQL.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by brushing up on common data science questions and case studies related to pricing in home insurance. We can help you with resources to ace those tricky scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our supportive workplace culture.
We think you need these skills to ace Pricing Data Scientist – Home Insurance (Hybrid) in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in personal lines insurance pricing and showcases your statistical skills. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the Pricing Data Scientist role and how your skills in Python and SQL can contribute to our Home team. Let us know what excites you about working with us!
Showcase Your Analytical Skills: In your application, include examples of analyses you've conducted and how they influenced pricing decisions. We love seeing real-world applications of your skills, so share any insights or recommendations you’ve made in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy to do!
How to prepare for a job interview at Acorn Group
✨Know Your Numbers
Brush up on your statistical skills and be ready to discuss specific analyses you've conducted in the past. Be prepared to explain how you used Python and SQL to derive insights, as this will show your technical prowess and relevance to the role.
✨Understand the Home Insurance Market
Familiarise yourself with current trends in home insurance pricing. Being able to discuss recent changes in the market or regulatory environment will demonstrate your industry knowledge and commitment to the field.
✨Collaborate Like a Pro
Since the role involves working with technical teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve translated complex data into actionable recommendations for non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you approached solving them. This could involve pricing strategies or data analysis hurdles. Employers love to see how you think critically and adapt to new situations.