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Lane Clark & Peacock

Lane Clark & Peacock

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Python Developer - Insurance Analytics

Role

Python Developer - Insurance Analytics

Job type

-

Found on Mokaru

5 days ago

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Salary

Not disclosed by employer

Job description

Python Developer - Insurance Analytics

Location - London with hybrid working as per departmental requirements ( 2 days per week in the office ).

In t his r ole you wil l work o n production-grade analytical and AI systems that shape real commercial decisions. You’ll work with some of the world’s largest insurers, tackl ing large and complex datasets, and solv ing challe nging p roblems across data engineering, modelling, and software design. We are in an exciting scale-up phase, having on boarded our first European and North American clients last year . T his is a n 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 lar ge 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 plat form 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 m ultiple l ocati ons across th e world . As w e manage the infrastructure for ou r clients, we have th e flexibil ity and au tonomy to make change s t o 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 ( eg on mu lti -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 L LMs, 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 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 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. 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 right to contact these candidates directly and have discussions with them without paying any agency fees. We do not pay agency fees when speculative and unsolicited CVs or candidate profiles are submitted to any employee or Partner at LCP.

Specialism

Insurance Consulting

Location

London

Job ID

297570

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