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- Tasks: Create data solutions and build robust data pipelines for advanced pricing analytics.
- Company: Leading insurance company with a focus on innovation and collaboration.
- Benefits: Competitive salary, private medical insurance, and generous holiday entitlement.
- Why this job: Join a dynamic team and make an impact in the insurance industry with AI.
- Qualifications: Bachelor's degree in a STEM field and skills in Python and SQL.
- Other info: Enjoy hybrid work arrangements and excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading insurance company is seeking an Actuarial Data Engineer for their London office. The role emphasizes hybrid work arrangements and involves collaborating with teams to create data solutions.
Candidates must have a Bachelor's degree in a STEM field and proficiency in Python and SQL. The successful individual will contribute to building robust data pipelines and support advanced pricing analytics.
This role offers competitive benefits including private medical insurance and a generous holiday entitlement.
Hybrid Actuarial Data Engineer - AI & Pricing Analytics employer: Programme Persée
Contact Detail:
Programme Persée Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Actuarial Data Engineer - AI & Pricing Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the insurance and data engineering fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common actuarial and data engineering questions. Practice explaining your past projects and how they relate to pricing analytics – we want to see your passion!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Hybrid Actuarial Data Engineer - AI & Pricing Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences, especially in Python, SQL, and data engineering. We want to see how your background aligns with the role of an Actuarial Data Engineer.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this hybrid role and how you can contribute to our team. Let us know what makes you a great fit for the position.
Showcase Your Projects: If you've worked on any projects related to data pipelines or pricing analytics, be sure to mention them. We love seeing practical examples of your work that demonstrate your skills and creativity.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Programme Persée
✨Know Your Tech
Make sure you're well-versed in Python and SQL. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages. It’s a great way to show you can hit the ground running!
✨Understand the Role
Familiarise yourself with what an Actuarial Data Engineer does, especially in the context of AI and pricing analytics. Be prepared to discuss how your background in STEM can contribute to building data solutions and pipelines.
✨Show Your Collaborative Spirit
Since this role involves working with various teams, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you can bring people together to achieve common goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to data analytics and their hybrid work culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
