At a Glance
- Tasks: Develop new features for our award-winning InsurSight platform and optimise data workflows.
- Company: Join a dynamic team in the innovative insurance analytics sector.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a growing team with exciting career advancement potential.
- Why this job: Make a real impact by shaping high-performance solutions in a cutting-edge tech environment.
- Qualifications: Experience in Python development and a passion for collaboration.
The predicted salary is between 50000 - 60000 € per year.
Were looking for a talented Python Developer to join our growing Insurance Analytics team. In this role, youll 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 youll be doing:
- Working on the development of new features within InsurSight, ensuring high performance, scalability, and maintainability.
- Optimise complex data and analytics workflows, including processing large datasets (4GB+).
- Promote best practices in software engineering (testing, version control, CI/CD, OOP).
- Collaborate with actuaries, analysts, and data scientists to deliver robust, industry-relevant solutions.
Python Developer in London employer: Halian Technology
Join our dynamic team as a Python Developer and immerse yourself in a collaborative work culture that values innovation and professional growth. With access to cutting-edge technology and the opportunity to work on our award-winning InsurSight platform, you'll be part of a forward-thinking environment that encourages continuous learning and development. Located in a vibrant area, we offer competitive benefits and a supportive atmosphere where your contributions truly make a difference in the insurance analytics landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Python Developer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and tech sectors on LinkedIn. Join relevant groups and engage in discussions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to data analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common Python and data analytics questions. Practice coding challenges and be ready to discuss your past projects. Confidence is key, so let your passion for tech shine through!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace Python Developer in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python in your application. We want to see how you've used it in real projects, especially if you've worked on data-heavy applications or analytics platforms.
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to our Insurance Analytics team. Mention specific features of InsurSight that excite you and how your skills can contribute to them.
Highlight Collaboration Experience:Since we work closely with actuaries, analysts, and data scientists, it’s important to showcase any collaborative projects you've been part of. Tell us how you’ve worked in teams to deliver impactful solutions.
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’re considered for the role. Plus, it shows you’re keen on joining our team!
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 ready to discuss your experience with Python frameworks and libraries, especially those relevant to data processing and analytics. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Understand the Insurance Analytics Landscape
Familiarise yourself with the insurance industry and how analytics plays a role in it. Research common challenges faced in insurance analytics and think about how your skills can address these issues. This will show your potential employer that you're not just a techie but also understand the business context.
✨Showcase Your Collaborative Spirit
Since you'll be working closely with actuaries, analysts, and data scientists, be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects in the past, highlighting your communication skills and ability to work in cross-functional teams.
✨Prepare for Technical Questions
Expect technical questions related to software engineering best practices, such as testing, version control, and CI/CD. Brush up on these concepts and be ready to explain how you've applied them in your previous roles. This will demonstrate your commitment to high-quality code and maintainability.
