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- Tasks: Design and deliver AI models to optimise the claims experience.
- Company: Leading insurance company in Norwich with a supportive team culture.
- Benefits: Competitive salary and comprehensive benefits package.
- Other info: Join a dynamic team focused on fairness and efficiency in claims.
- Why this job: Make impactful decisions using data and innovative solutions.
- Qualifications: Strong machine learning skills and programming experience in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
A leading insurance company in Norwich is seeking a Lead Data Scientist to design and deliver AI and machine learning models. You will play a critical role in optimizing the claims experience by developing innovative solutions.
The ideal candidate should have:
- Strong machine learning skills
- Practical programming experience in Python and SQL
- Exceptional problem-solving abilities
You will be part of a supportive team focused on making impactful decisions backed by data. This position offers a competitive salary and a comprehensive benefits package.
Lead Data Scientist - AI for Faster, Fairer Claims in Norfolk employer: Aviva
Contact Detail:
Aviva Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - AI for Faster, Fairer Claims in Norfolk
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those relevant to claims optimisation. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on Python and SQL. We can find plenty of resources online to help us ace those coding challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match the job description perfectly.
We think you need these skills to ace Lead Data Scientist - AI for Faster, Fairer Claims in Norfolk
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your machine learning skills and programming experience in Python and SQL. We want to see how your background aligns with the role, 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 optimising the claims experience and how your problem-solving abilities can contribute to our team. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any innovative AI or machine learning projects, make sure to mention them in your application. We love seeing real-world applications of your skills, so share what you’ve done and the impact it had!
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 important updates from us!
How to prepare for a job interview at Aviva
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning skills and be ready to discuss specific algorithms you've used. Be prepared to explain how you've applied Python and SQL in real-world scenarios, as this will show your practical experience.
✨Showcase Problem-Solving Skills
Prepare examples of complex problems you've solved using data science techniques. Think about the challenges you faced and how you approached them, as this will demonstrate your critical thinking and innovative mindset.
✨Understand the Company’s Mission
Research the insurance company and understand their goals, especially around optimising claims experiences. This will help you align your answers with their mission and show that you're genuinely interested in making an impact.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics and the projects you'll be working on. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.