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 2020 and is currently used to assess over £200bn 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

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 that you are able to perform to your full potential both in and out of work. Currently 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. This may be extra time for assessments, pre-interview site visits, interview structure or questions, or asking us about building accessibility. Whatever it may be, please get in touch via our dedicated email address - [email protected] to discuss how we can support you with your application.

Recruitment agencies

LCP operates a Preferred Supplier List (PSL) for recruitment agencies which is reviewed annually. We do not accept unsolicited CVs or candidate profiles from agencies who are not part of our current PSL. LCP only pay agency fees where we have a signed agreement in place, and the agency has been instructed by a member of our recruitment team to supply CVs via the Applicant Tracking System (ATS) for a legitimate, open vacancy. If this process is not adhered to, LCP reserve the ri