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- Tasks: Drive data-led decisions using AI and machine learning to create impactful solutions.
- Company: Major UK insurance provider with a focus on innovation.
- Benefits: Flexible working, competitive salary up to £50,000, and exceptional benefits package.
- Why this job: Join a dynamic team and make a real impact in the insurance industry.
- Qualifications: Proficient in Python, SQL, and cloud technology with strong collaboration skills.
- Other info: Hybrid role with great opportunities for career growth.
The predicted salary is between 36000 - 60000 £ per year.
A major insurance provider in the UK is looking for a Data Scientist to join their team. This role involves driving data-led decisions and applying AI and machine learning techniques to create impactful data solutions.
The ideal candidate is skilled in Python and SQL, has cloud technology experience, and shows strong collaboration abilities.
This position offers flexible working arrangements and a competitive salary of up to £50,000, along with an exceptional benefits package.
Data Scientist - Life Insurance | Hybrid + 12‑Month FTC employer: Zurich
Contact Detail:
Zurich Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Life Insurance | Hybrid + 12‑Month FTC
✨Tip Number 1
Network like a pro! Reach out to current employees at the insurance provider on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those involving AI and machine learning. This will help us demonstrate your expertise beyond just words.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and SQL. We can even set up mock interviews with friends or use online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist - Life Insurance | Hybrid + 12‑Month FTC
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python, SQL, and any cloud technologies you've worked with. We want to see how your experience aligns with the role of a Data Scientist in life insurance, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can drive data-led decisions. We love seeing candidates who can connect their personal motivations to the role.
Showcase Collaboration Skills: Since this role involves working closely with others, make sure to mention any teamwork experiences. Whether it's group projects or cross-department collaborations, we want to know how you’ve successfully worked with others to achieve goals.
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’re considered for this exciting opportunity in our team!
How to prepare for a job interview at Zurich
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've applied AI and machine learning techniques, as this will show your practical experience and understanding of data-led decision-making.
✨Show Off Your Cloud Knowledge
Since cloud technology is a key part of this role, be prepared to talk about your experience with cloud platforms. Whether it's AWS, Azure, or Google Cloud, highlight how you've used these technologies in past projects to drive impactful data solutions.
✨Collaboration is Key
This position values strong collaboration abilities, so think of examples where you've worked effectively in a team. Be ready to share how you’ve communicated complex data insights to non-technical stakeholders, as this will demonstrate your ability to bridge the gap between data science and business needs.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s data strategy and how they leverage data science in their operations. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
