Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain data pipelines, analyse data using Python and SQL, and create dashboards.
- Company: Leading insurance company with a focus on innovation and analytics.
- Benefits: Flexible hours, substantial pension scheme, medical insurance, and diverse employee benefits.
- Why this job: Join a dynamic team and leverage AI/ML to make impactful decisions in the insurance sector.
- Qualifications: Strong analytical skills and experience in advanced analytics within the insurance industry.
- Other info: Hybrid role based in Fareham with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance company is seeking a Data Scientist for a hybrid role based in Fareham. The ideal candidate will design and maintain data pipelines, use Python and SQL for data analytics, and create dashboards using Power BI. They should have strong analytical skills and experience in advanced analytics within the insurance sector.
The role offers flexible hours and a diverse range of employee benefits, including a substantial pension scheme and medical insurance.
Pricing Data Scientist - Hybrid (AI/ML) in Fareham employer: Zurich
Contact Detail:
Zurich Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pricing Data Scientist - Hybrid (AI/ML) in Fareham
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data science fields on LinkedIn. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, analytics projects, or dashboards. This is your chance to demonstrate your expertise in Python, SQL, and Power BI to potential employers.
✨Tip Number 3
Prepare for the interview by brushing up on industry trends and common data science challenges in insurance. We want you to be ready to discuss how you can tackle these issues with your analytical skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Pricing Data Scientist - Hybrid (AI/ML) in Fareham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data analytics. We want to see how your skills align with the role of a Pricing Data Scientist, so don’t be shy about showcasing 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 data science in the insurance sector and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Show Off Your Analytical Skills: In your application, give examples of how you've used advanced analytics to solve problems. Whether it's through dashboards or data pipelines, we want to see your thought process and how you approach challenges in your work.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Zurich
✨Know Your Data Tools
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 the context of data analytics and creating dashboards. This will show that you’re not just familiar with the tools but can apply them effectively.
✨Understand the Insurance Sector
Since this role is within the insurance industry, it’s crucial to have a solid understanding of how data science applies to this field. Research common challenges faced by insurance companies and think about how your analytical skills can help solve them. This knowledge will impress your interviewers.
✨Prepare for Technical Questions
Expect technical questions related to data pipelines and advanced analytics. Practice explaining your thought process when designing data solutions. You might even want to prepare a mini-case study or example from your previous work to demonstrate your problem-solving skills.
✨Showcase Your Dashboard Skills
Since creating dashboards using Power BI is part of the job, be prepared to discuss your experience with visualising data. Bring examples of dashboards you've created, and be ready to explain the insights they provided. This will highlight your ability to turn data into actionable information.
