At a Glance
- Tasks: Develop and enhance our award-winning SaaS analytics platform, InsurSight.
- Company: Join a dynamic team at the forefront of insurance analytics technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a culture that values curiosity, collaboration, and technical excellence.
- Why this job: Make a real impact by building high-performance solutions in a collaborative environment.
- Qualifications: Strong Python skills and experience with large datasets are essential.
The predicted salary is between 50000 - 65000 € 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
- Explore and prototype new technologies to drive innovation and continuous improvement
- Contribute to a culture of curiosity, collaboration, and technical excellence
What were looking for:
- Strong Python development experience, with a proven ability to deliver production-quality, maintainable code
- Must have experience working with large datasets and performance-critical applications
- Experience building and consuming REST APIs
- Familiarity with Azure (e.g. Functions, Batch, Blob/Table/Queue Storage, Cosmos DB)
- Good understanding of software engineering best practices, including automated testing, version control, CI/CD, and object-oriented design
- A proactive, problem-solving mindset with a focus on performance and user experience
- Interest in, or experience with actuarial or non-life insurance analytics (desirable)
- Ability to quickly understand and work with complex analytical concepts
This role is hybrid with 2 days on-site and 3 days remote in central London, with a 2 - 3 stage interview process.
Interview slots available - Apply now!
Python Developer employer: Halian Technology Limited
Join our dynamic team as a Python Developer in the heart of London, where innovation meets collaboration. We offer a vibrant work culture that fosters curiosity and technical excellence, alongside opportunities for professional growth within the rapidly evolving field of insurance analytics. Enjoy the flexibility of a hybrid working model while contributing to our award-winning SaaS platform, InsurSight, and be part of a company that values your contributions and invests in your future.
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 space, especially those who work with analytics. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python projects, especially those involving large datasets or REST APIs. This gives potential employers a taste of what you can do before they even meet you.
✨Tip Number 3
Prepare for the interview by brushing up on software engineering best practices. Be ready to discuss how you’ve implemented CI/CD, testing, and version control in your past projects. We love seeing candidates who are passionate about quality code!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Python Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python development experience and any work with large datasets. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about joining our Insurance Analytics team and how your background makes you a perfect fit for InsurSight.
Showcase Your Problem-Solving Skills:In your application, mention specific examples where you've tackled complex analytical challenges or optimised workflows. We love seeing a proactive mindset in action!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Halian Technology Limited
✨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 development, especially in relation to building maintainable code and working with large datasets. Practise coding challenges that focus on performance-critical applications to showcase your expertise.
✨Familiarise Yourself with InsurSight
Take some time to understand what InsurSight is all about. Research the features of the platform and think about how your skills can contribute to its development. Being able to discuss specific ways you can enhance the platform will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect questions around software engineering best practices, such as automated testing, version control, and CI/CD. Brush up on these topics and be prepared to explain how you've applied them in your previous work. This will demonstrate your commitment to quality and efficiency in software development.
✨Show Your Collaborative Spirit
Since this role involves working closely with actuaries, analysts, and data scientists, be ready to discuss your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to deliver solutions, highlighting your communication skills and ability to adapt to different perspectives.
