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- Tasks: Join our team to develop and enhance InsurSight, our award-winning SaaS platform using Python.
- Company: LCP, an award-winning consultancy in actuarial and analytics.
- Benefits: Enjoy hybrid working, competitive salary, and a comprehensive benefits package.
- Why this job: Make a real impact in insurance analytics while growing your Python skills.
- Qualifications: Strong Python experience and familiarity with large datasets required.
- Other info: Collaborative culture with excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Location - London with hybrid working as per departmental requirements (currently a MINIMUM of 40% (2 days per week).
LCP is an award-winning actuarial and analytics consultancy providing market-leading capabilities and advice across pensions and financial services, energy, health, and analytics. We use powerful analytics fused with human expertise to shape a more positive future.
We have an exciting opportunity to join our Insurance Analytics team as a Python Developer. You will play a leading role in the continued development of InsurSight, our award-winning SaaS platform. InsurSight was launched in April and is currently used to assess over £bn of non-life insurance business. We are expanding the team to help us support our expanding client base whilst delivering our exciting plans to develop the platform further.
You’ll work within our backend team to help shape the direction of how we use Python within InsurSight, focussing on feature development, performance, maintainability, and tighter integration of our C# and Python backend codebases. You will also support and mentor less experienced developers, conduct code reviews, and take ownership of key technical challenges - particularly where large datasets and performance bottlenecks are involved.
Our team consists of:
- 1 Product manager
- 4 C# developers
- 2 Python developers
- 1 Actuarial data scientist
- 2 Front end developers
- 1 DevOps and site reliability engineer
- 3 QA Engineers
You will have the benefit of the guidance of our actuarial data scientists, Python developer and product manager, but also the opportunity to take ownership of your work. This is a mid-level role for someone looking to deepen their Python and software engineering skills whilst working in a domain-rich environment.
Key Responsibilities:
- Provide Python development expertise on new InsurSight features, ensuring performance, scalability and maintainability
- Help with further integration between our C# and Python codebases, rewriting or restructuring code where needed to reduce inefficiencies and improve cohesion
- Optimise performance of complex data and analytics workflows, including calculations on larger datasets (e.g. on 4GB+ datasets)
- Review and provide feedback on code written by other developers, support mentoring and skill development across the team
- Champion best practices in software engineering including testing, version control, CI/CD, and OOP
- Collaborate with actuaries, analysts and data scientists to deliver technically robust, industry-relevant features
- Research and prototype new technologies to support innovation and continuous improvement
- Contribute to a culture of curiosity, collaboration and technical excellence
Skills and Experience:
- 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, OOP
- Proactive, problem-solving mindset with a focus on performance and user experience
- Exposure to actuarial or non-life insurance analytics, or an interest in domain-rich environment
- Experience picking up complex and unfamiliar analytical concepts
What’s in it for you?
Take a look at our Career stories pages to see why our people love being here! As well as joining a 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 that you are able to perform to your full potential both in and out of work. Currently our core benefits package includes:
- 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
- Life assurance
- Income protection
- Enhanced maternity/paternity/adoption and shared parental leave
- 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
- Competitive pension scheme
- Discretionary bonus scheme
- High street discounts
- Season ticket loans
- Volunteering opportunities
- Electric vehicle salary sacrifice scheme (qualifying period applies)
Python Developer - Insurance Analytics in London employer: Lane Clark & Peacock
Contact Detail:
Lane Clark & Peacock 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 current employees at LCP on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your Python projects, especially those involving large datasets or analytics. This will demonstrate your expertise and passion for the role.
✨Tip Number 3
Ace the interview by practising common technical questions related to Python and software engineering best practices. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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 awesome team at LCP.
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 is tailored to the Python Developer role. Highlight your experience with Python, especially in relation to large datasets and performance-critical workloads. We want to see how your skills align with our needs!
Showcase Your Projects: Include any relevant projects or contributions you've made, particularly those involving SaaS platforms or analytics. This gives us a glimpse into your practical experience and problem-solving abilities.
Craft a Compelling Cover Letter: Your cover letter should reflect your passion for Python development and the insurance analytics domain. Let us know why you're excited about joining our team and how you can contribute to InsurSight's success.
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 in our Insurance Analytics team!
How to prepare for a job interview at Lane Clark & Peacock
✨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 you about specific projects where you’ve tackled performance bottlenecks, so have some examples at the ready!
✨Familiarise Yourself with InsurSight
Take some time to understand what InsurSight is all about. Research its features and how it integrates with C# and Python. Being able to speak knowledgeably about the platform will show your genuine interest in the role and help you stand out as a candidate who’s ready to contribute from day one.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of software engineering best practices, such as CI/CD, version control, and automated testing. Brush up on these concepts and be prepared to explain how you’ve applied them in your previous work. This will demonstrate your commitment to quality and efficiency.
✨Show Your Collaborative Spirit
Since the role involves working closely with actuaries, analysts, and other developers, be ready to discuss your teamwork experiences. Share examples of how you’ve mentored others or collaborated on projects. Highlighting your ability to work well in a team will resonate with their culture of curiosity and collaboration.