At a Glance
- Tasks: Develop Python features for cutting-edge insurance analytics and optimise complex data workflows.
- Company: Join a multi-award winning, people-first tech company in the insurance sector.
- Benefits: Enjoy hybrid working, professional development, and a comprehensive wellbeing package.
- Other info: Be part of a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact with innovative AI systems while collaborating with industry experts.
- Qualifications: Strong Python skills and experience with large datasets are essential.
The predicted salary is between 60000 - 75000 £ per year.
Python Developer - Insurance Analytics – London with hybrid working as per departmental requirements (2 days per week in the office). In this role you will work on production-grade analytical and AI systems that shape real commercial decisions. You’ll work with some of the world’s largest insurers, tackling large and complex datasets, and solving challenging problems across data engineering, modelling, and software design.
We are in an exciting scale-up phase, having onboarded our first European and North American clients last year. This is an exciting opportunity to join a team with the energy and autonomy of a scale-up, while benefiting from the stability, support, and work-life balance of an established company.
A bit about InsurSight and the team: Launched in April 2020, InsurSight is used to assess more than £200bn of non-life insurance business and is licensed by a large number of insurers. It runs predictive modelling across a broad range of non-life insurance classes—from motor and cyber insurance to hurricane risk and even rocket launches. This variety gives the team exposure to diverse, intellectually stimulating problems, applying analytics and engineering across very different real-world contexts.
InsurSight is a cloud-native platform and as we continue to scale, cloud architecture is an increasingly important part of the engineering challenge – from improving efficiency and controlling costs to supporting a growing client base in multiple locations across the world. As we manage the infrastructure for our clients, we have the flexibility and autonomy to make changes to the architecture. ML has also been a key differentiator for InsurSight since its launch. Our in-house algorithms for trend identification and claims prediction have helped clients see ML deliver genuine value in practice and have reported time savings of up to 80%. We are now using LLMs to transform both how we develop software and the features we build, helping us solve increasingly complex client problems in new ways.
The team combines deep actuarial and insurance expertise with modern technology, working across tools including Python, C#, Vue, NoSQL, Azure, Cursor, Codex, Git and DevOps best practice. Our team consists of 1 product manager, 1 delivery manager, 5 C# developers, 2 Python developers, 2 analytics actuaries, 2 front end developers, 1 DevOps and site reliability engineer, 3 QA engineers.
Key Responsibilities:- Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability.
- Champion best practices in software engineering including testing, version control, CI/CD, and OOP.
- Optimise performance of complex data and analytics workflows, including calculations on large datasets (e.g. multi-GB datasets).
- Review and provide feedback on code written by other developers, support mentoring and skill development across the team.
- Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry-relevant features.
- Research and prototype new technologies, including LLMs, to support innovation and continuous improvement.
- Contribute to a culture of curiosity, collaboration and technical excellence.
- Strong Python development experience, with a track record of writing production-grade, maintainable code.
- Experience working with large datasets and performance-critical workloads.
- Familiarity with Azure PaaS/SaaS tools (e.g. Azure Functions, Batch, Blob/Table/Queue Storage), and CosmosDB.
- Comfort with software-engineering best practices: automated testing, version control, CI/CD and OOP.
- Proactive, problem-solving mindset with a focus on performance and user experience.
- Experience working in a domain-rich environment.
- Experience picking up complex and unfamiliar analytical concepts.
Interested in applying? We'd love to hear about any Python projects or schemes of work you’ve contributed to.
What’s in it for you? Take a look at our Glassdoor and Career stories pages to see why our people love being here. As well as joining a certified B-Corp, multi-award winning, fun, collaborative, people-first organisation where your personal and professional skills will be developed to make you the best you can be, we offer an attractive benefits package designed to promote your overall wellbeing so you are able to perform to your full potential both in and out of work.
Our core benefits package includes:- For you: Hybrid working (see top of the advert for details), Professional study support (where applicable), Access to our internal Wellbeing, LGBTQ+, Multicultural and Women's networks.
- For your family: Life assurance, Income protection, Enhanced maternity/paternity/adoption and shared parental leave.
- For your health: 26 days annual leave (pro-rata for part-time working) plus bank holidays (most of which can be taken flexibly) with options to buy & sell holiday, Private medical insurance, Discounted gym memberships, critical illness and dental insurance through our flexible benefits, Eye care vouchers, Cycle to work scheme, Digital GP services.
- For your wealth: Competitive pension scheme, Discretionary bonus scheme, High street discounts, Season ticket loans.
- For others: Volunteering opportunities.
- For the environment: Electric vehicle salary sacrifice scheme (qualifying period applies).
And much more! We continuously strive to build an inclusive workplace where all forms of diversity are valued, including age, background, disability, gender, gender identity, gender expression, race, religion or sexual orientation. LCP is committed to making our opportunities accessible to all and would welcome you getting in touch to let us know if an adjustment can be made to help with your application.
Python Developer - Insurance Analytics in London employer: NACBA
InsurSight is an exceptional employer that combines the dynamic energy of a scale-up with the stability and support of an established company. Located in London, we offer a hybrid working model that promotes work-life balance, alongside a comprehensive benefits package that prioritises employee wellbeing and professional development. Our collaborative culture fosters innovation and curiosity, providing ample opportunities for growth while tackling intellectually stimulating challenges in the insurance analytics space.
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 portfolio showcasing your Python projects, especially those involving large datasets or analytics. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and coding challenges. Practice explaining your thought process while solving problems, as this is often just as important as getting the right answer.
✨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, it shows you’re genuinely interested in joining our team at InsurSight.
We think you need these skills to ace Python Developer - Insurance Analytics in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your Python development experience in your application. Share specific projects or contributions that showcase your ability to write production-grade, maintainable code. We want to see how you've tackled complex datasets and performance-critical workloads!
Emphasise Collaboration:Since you'll be working closely with actuaries, analysts, and data scientists, it's important to demonstrate your collaborative spirit. Mention any past experiences where you’ve worked in a team to deliver robust features or solve challenging problems. We love a team player!
Be a Problem Solver:We’re looking for someone with a proactive, problem-solving mindset. In your application, share examples of how you've approached complex analytical concepts or optimised workflows. Show us how you think outside the box to improve performance and user experience.
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 and learn more about your journey in Python development!
How to prepare for a job interview at NACBA
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with writing production-grade code and optimising performance for large datasets. They’ll likely ask about specific projects you've worked on, so have a couple of examples ready that showcase your problem-solving abilities.
✨Familiarise Yourself with Cloud Technologies
Since this role involves working with Azure PaaS/SaaS tools, it’s crucial to understand how these technologies work. Do some research on Azure Functions, CosmosDB, and other relevant tools. Being able to discuss how you’ve used these in past projects will definitely give you an edge.
✨Emphasise Collaboration Skills
This position requires working closely with actuaries, analysts, and data scientists. Be prepared to talk about your experience collaborating in cross-functional teams. Highlight any mentoring roles you've taken on or how you've contributed to a culture of curiosity and technical excellence.
✨Prepare for Technical Questions
Expect to face technical questions that test your understanding of software engineering best practices like CI/CD, version control, and automated testing. Brush up on these concepts and be ready to explain how you’ve applied them in your previous roles. This will show that you’re not just a coder but a well-rounded developer.
