At a Glance
- Tasks: Develop and enhance our award-winning InsurSight analytics platform using Python.
- Company: Join a dynamic team at the forefront of insurance technology.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for growth.
- Other info: Collaborative culture with a focus on curiosity and technical excellence.
- Why this job: Make a real impact in the insurance industry with innovative tech solutions.
- Qualifications: Strong Python skills and experience with large datasets are essential.
The predicted salary is between 50000 - 70000 € per year.
We’re looking for a talented Python Developer to join our growing Insurance Analytics team. In this role, you’ll 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’ll 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 we’re 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 | Managed Services, Recruitment Agency & Contract Staffing
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 insurance analytics sector. Enjoy the flexibility of a hybrid working model while contributing to our award-winning SaaS platform, InsurSight, and making a meaningful impact in the industry.
Contact Detail:
Halian | Managed Services, Recruitment Agency & Contract Staffing Recruiting Team
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 insider info about job openings or even a referral.
✨Tip Number 2
Prepare for your interviews by brushing up on your Python skills and understanding how to optimise large datasets. We recommend doing some mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant Python projects, especially those involving data analytics or REST APIs, make sure to highlight them during interviews. It’s all about demonstrating your hands-on experience.
✨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 about their job search.
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 you can contribute to InsurSight. Keep it engaging and personal.
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, so let us know how you’ve made an impact!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our awesome team at StudySmarter!
How to prepare for a job interview at Halian | Managed Services, Recruitment Agency & Contract Staffing
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with production-quality code and how you've tackled performance-critical applications. They’ll likely ask about your work with large datasets, so have some examples ready!
✨Familiarise Yourself with InsurSight
Take some time to understand what InsurSight is all about. Research its features and think about how your skills can enhance the platform. Being able to discuss specific ways you could contribute will show your genuine interest in the role.
✨Showcase Your Collaboration Skills
This role involves working closely with actuaries, analysts, and data scientists. Prepare examples of past collaborations where you’ve successfully worked in a team to deliver solutions. Highlight your communication skills and how you handle feedback.
✨Prepare for Technical Questions
Expect technical questions related to software engineering best practices, like CI/CD and automated testing. Brush up on these topics and be ready to explain how you’ve implemented them in your previous projects. This will demonstrate your commitment to quality and maintainability.
