At a Glance
- Tasks: Develop new features for our award-winning InsurSight platform and optimise data workflows.
- Company: Join a dynamic team in the insurance analytics sector, shaping the future of technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with experts and enhance your skills in a supportive environment.
- Why this job: Make a real impact by building high-performance solutions that transform the insurance industry.
- Qualifications: Experience in Python development and a passion for data analytics.
The predicted salary is between 50000 - 60000 £ per year.
We are looking for a talented Python Developer to join our growing Insurance Analytics team. In this role, you will play a key part in shaping and enhancing InsurSight, our award-winning SaaS analytics platform. This is a great opportunity to work at the intersection of technology, data, and insurance, building high-impact solutions used across the industry.
What you will be doing:
- Working on the development of new features within InsurSight, ensuring high performance, scalability, and maintainability.
- Optimising complex data and analytics workflows, including processing large datasets (4GB+).
- Promoting best practices in software engineering (testing, version control, CI/CD, OOP).
- Collaborating with actuaries, analysts, and data scientists to deliver robust, industry-relevant solutions.
Python Developer employer: Halian Technology
Join our dynamic team as a Python Developer in the thriving Insurance Analytics sector, where innovation meets impact. We offer a collaborative work culture that fosters professional growth and encourages creativity, alongside competitive benefits and opportunities to work on cutting-edge technology within our award-winning SaaS platform, InsurSight. Located in a vibrant area, our company prioritises employee well-being and development, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and tech sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo with some cool Python projects or contributions. It’s a great way to demonstrate your coding chops beyond the interview.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your algorithms and data structures, and practice coding challenges. We all know they love to test your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used Python in real-world projects, especially in analytics or data processing. Don't hold back on showcasing any cool features you've developed!
Tailor Your Application:Take a moment to customise your application for the role. Mention specific experiences that relate to InsurSight and the insurance analytics space. This shows us you're genuinely interested and have done your homework!
Keep It Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it's relevant. We appreciate a well-structured application that gets straight to the point without fluff.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Halian Technology
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be prepared to discuss your experience with Python, especially in relation to data processing and analytics. Familiarise yourself with libraries commonly used in the industry, like Pandas and NumPy, as they might come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some coding challenges or case studies during the interview. Practice solving problems that involve optimising data workflows or handling large datasets. This will demonstrate your ability to think critically and apply your skills in real-world scenarios.
✨Understand the Insurance Analytics Landscape
Do a bit of homework on the insurance industry and how analytics plays a role in it. Being able to discuss trends, challenges, and how technology is shaping the future of insurance will show your genuine interest in the field and help you stand out.
✨Emphasise Collaboration and Best Practices
Since you'll be working closely with actuaries, analysts, and data scientists, highlight your teamwork skills. Discuss any past experiences where you collaborated on projects and how you promoted best practices in software engineering, such as testing and version control. This will show that you're not just a great coder but also a team player.
