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- Tasks: Develop innovative features in Python for a leading insurance analytics platform.
- Company: Join a top analytics consultancy driving innovation across various sectors.
- Benefits: Competitive salary, mentorship opportunities, and a collaborative work environment.
- Other info: Dynamic team culture with opportunities for continuous learning and growth.
- Why this job: Make a real impact on a market-leading SaaS platform while working with experts.
- Qualifications: Strong Python experience and familiarity with cloud technologies required.
The predicted salary is between 50000 - 70000 £ per year.
We’re partnering with a leading analytics consultancy at the forefront of innovation across insurance, energy, health, and financial services. Known for combining deep domain expertise with cutting-edge technology, they develop bespoke solutions that help clients navigate complex challenges and make better decisions.
This is an exciting opportunity for a Python Developer to join a high-performing Insurance Analytics team, playing a key role in the evolution of a market-leading SaaS platform used to analyse over £200bn of non-life insurance portfolios. You’ll work within a collaborative backend engineering team, contributing to the ongoing development, optimisation, and scaling of the platform—while also helping shape how Python is used across the wider architecture. This role offers strong ownership, technical challenge, and the chance to work closely with actuaries, data scientists, and product specialists in a genuinely domain-rich environment.
What You’ll Be Doing
- Developing new features using Python, with a focus on performance, scalability, and maintainability
- Improving integration between Python and C# systems to enhance efficiency and cohesion
- Conducting code reviews and supporting junior developers through mentoring
- Driving best practices across testing, CI/CD, version control, and object-oriented design
- Collaborating with actuarial and analytics teams to deliver impactful solutions
- Prototyping and exploring new technologies to support continuous innovation
What We’re Looking For
- Strong experience with Python in a production environment
- Experience working with large datasets or performance-critical applications
- Familiarity with cloud technologies (ideally Azure – Functions, Storage, Batch, CosmosDB)
- Solid understanding of software engineering principles (testing, CI/CD, OOP)
- A proactive, problem-solving mindset with a focus on quality and performance
- Interest in insurance, analytics, or working in a highly technical, domain-driven environment
Python Developer – Insurance Analytics in London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer – Insurance Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your Python projects, especially those related to analytics or insurance. This gives 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 your technical skills and understanding the company’s products. Be ready to discuss how your experience aligns with their needs, especially around performance and scalability in Python.
✨Tip Number 4
Don’t just apply anywhere—apply through our website! We’re all about finding the right fit, and applying directly helps us see your enthusiasm for the role. Plus, it makes tracking your application easier for both of us!
We think you need these skills to ace Python Developer – Insurance Analytics in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python experience and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity and how your background fits into our innovative team. Let us know what makes you tick in the world of insurance analytics.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We love a proactive mindset, so share any experiences where you’ve improved processes or optimised performance using Python.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Arthur Recruitment
✨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 in production environments, especially how you've tackled performance and scalability issues. Prepare to share specific examples of projects where you've developed new features or improved existing ones.
✨Familiarise Yourself with the Domain
Since this role is in insurance analytics, it’s a good idea to understand the basics of the insurance industry and how analytics plays a role in it. Research common challenges faced in the sector and think about how your skills can help solve them. This will show your genuine interest and help you connect with the interviewers.
✨Showcase Your Collaborative Spirit
This position involves working closely with actuaries, data scientists, and product specialists. Be prepared to discuss your experience in collaborative environments. Share examples of how you've worked in teams, mentored junior developers, or contributed to code reviews. Highlighting your teamwork skills will demonstrate that you're a great fit for their high-performing team.
✨Prepare for Technical Questions
Expect technical questions related to software engineering principles, CI/CD, and object-oriented design. Brush up on these topics and be ready to explain your thought process when solving problems. Practising coding challenges or discussing past experiences with large datasets can also give you an edge during the interview.